Dynamic Weightage

The weightage for the Search and Match entities in the API response can be customized by passing the dynamic weightage in the Search and Match API input.

Currently, the weightage/scores for the Search and Match entities in the API response are based on the weightage (for example Sample JD Weightage and Sample Resume Weightage) that are set default for each indexkey. Based on the default weightage set for the entities such as JobProfile, Organization, Skill, etc., the Search and Match API returns the score in the API response. The default weightage/scores can be changed for the indexkey with the support of support@rchilli.com, for more details, see Custom Weightage/Scoring.

Now, the user can customize the dynamic weightage (resumeWeightage or jdWeightage) for each Search and Match API input request. Based on the the dynamic weightage in the input request, API returns the weightage for the Search and Match entities in the API response.

Dynamic weightage parameters can be passed in the following Search and Match API, for more details, refer below sections.

Dynamic Weightage in Simple Search
Dynamic Weightage in Boolean Search
Dynamic Weightage in Match
Dynamic Weightage in Match with ID
Dynamic Weightage in Match with Multiple Sub-User Ids
Dynamic Weightage in One To One Match

Note:

Dynamic weightage parameter, i.e., resumeWeightage or jdWeightage is optional; if you do not send the dynamic weightage parameter in the API request then the default dynamic weightage set on the indexkey is used in the API request.
The total wieghtage of all entities in the dynamic weightage parameter (resumeWeightage or jdWeightage) must be less or equal to 100.
If all entities with weightage are passed in the dynamic weightage parameter, i.e., resumeWeightage or jdWeightage, then the weightage passed in the API request overrides the default weightage set on the indexkey.
If only one entity with weightage is passed in the API request, then only that entity weightage is overridden and others' entities weightage is increased/decreased based on the original ratio such that the total weightage remains 100.
If only one entity with weightage as 100 is passed in the API request, then weightage of 100 is overridden to that entity and others' entities weightage changes to zero.
If one entity with weightage as 100 passed in the API request and other entities also passed with some Weightage, then an error is returned. The sum of the total weightage (parent weight) must not be more than 100.
If only parent weightage for entities is passed in the API request, then the parent weightage for entities are overridden and the child weightage remains the same as set default on the indexkey.
If only child weightage for entities is passed in the API request, then the child weightage for entities is overridden, for this condition Parent name for the entity is required in the API request.
You can pass explainWeightage parameter in all above API request to get the final weightage details (resumeWeightage or jdWeightage array in API response) that is used to calculate the score for the entities in the API response. The explainWeightage is an optional parameter.
If dynamic weightage (resumeWeightage or jdWeightage) is not returned in the API response, then the default weightage is returned in the response.

Sample JD Weightage

"jdWeightage": [
	{
		"Parent": "JobProfile",
		"Weight": 35,
		"Child": {
			"JobProfileTitle": 100,
			"JobProfile": 80,
			"JobProfileAlias": 60
		}
	},
	{
		"Parent": "Organization",
		"Weight": 5
	},
	{
		"Parent": "Skill",
		"Weight": 15,
		"Child": {
			"RequiredSkillSet": 100,
			"PreferredSkillSet": 80,
			"AliasSkillSet": 60,
			"JobProfileRelatedSkills": 80
		}
	},
	{
		"Parent": "Degree",
		"Weight": 5,
		"Child": {
			"QualificationsRequired": 100,
			"QualificationsPreferred": 80
		}
	},
	{
		"Parent": "ExperienceRequired",
		"Weight": 10,
		"Child": {
			"MinimumYearsExperience": 100,
			"MaximumYearsExperience": 100
		}
	},
	{
		"Parent": "JobLocationCity",
		"Weight": 10
	},
	{
		"Parent": "JobLocationState",
		"Weight": 5
	},
	{
		"Parent": "JobLocationCountry",
		"Weight": 5
	},
	{
		"Parent": "IndustryType",
		"Weight": 5
	},
	{
		"Parent": "Domains",
		"Weight": 5
	}
]

Sample Resume Weightage

"resumeWeightage": [
	{
		"Parent": "JobProfile",
		"Weight": 35,
		"Child": {
			"CurrentJobProfile": 100,
			"JobProfile": 80,
			"CurrentJobAlias": 80,
			"JobAlias": 60
		}
	},
	{
		"Parent": "Employer",
		"Weight": 5,
		"Child": {
			"CurrentEmployer": 100,
			"Employer": 80
		}
	},
	{
		"Parent": "Skill",
		"Weight": 15,
		"Child": {
			"SkillHaveExp": 100,
			"SkillWithoutExp": 80,
			"SkillAlias": 60
		}
	},
	{
		"Parent": "Degree",
		"Weight": 10,
		"Child": {
			"HighestDegree": 100,
			"Degree": 80
		}
	},
	{
		"Parent": "City",
		"Weight": 5,
		"Child": {
			"AddressCity": 100,
			"CurrentCity": 100,
			"CurrentEmployerCity": 100,
			"PreferredCity": 90,
			"EmployerCity": 90,
			"EducationCity": 50
		}
	},
	{
		"Parent": "State",
		"Weight": 5,
		"Child": {
			"AddressState": 100,
			"CurrentState": 100,
			"CurrentEmployerState": 100,
			"PreferredState": 90,
			"EmployerState": 90,
			"EducationState": 50
		}
	},
	{
		"Parent": "Country",
		"Weight": 5,
		"Child": {
			"AddressCountry": 100,
			"CurrentCountry": 100,
			"CurrentEmployerCountry": 100,
			"PreferredCountry": 90,
			"EmployerCountry": 90,
			"EducationCountry": 50
		}
	},
	{
		"Parent": "TotalExperienceInYear",
		"Weight": 10
	},
	{
		"Parent": "Category",
		"Weight": 5
	},
	{
		"Parent": "SubCategory",
		"Weight": 5
	}
]

Dynamic Weightage in Simple Search

The Simple Search API method searches the documents with a string query (must contain entities), refer Simple Search for more details.

Now, you can add dynamic Resume/JD weightage (resumeWeightage or jdWeightage parameter) for each Simple Search API request. See below sample request and response for Simple Search API request with dynamic resume weightage.

Sample Request of Simple Search API with Dynamic Resume Weightage

Note:

Below sample request contains dynamic resume weightage (resumeWeightage parameter), similarly you can pass dynamic JD weightage (jdWeightage parameter).
For the Simple Search API request, dynamic weightage parameter (resumeWeightage or jdWeightage) is based on the indexType entity. If indexType is Resume, then you must use resumeWeightage, and if indexType is JD, then jdWeightage must be used.
You can change the weightage for different entities based on your requirement, and the API returns the response based on the weightage for different entities passed in the API request.
When you change weightage for one entity, for example, JobProfile weightage is changed to 55 from 35, then the weightage for different entities must be changed as well such that the total wieghtage of all entities in the API request is less than or equal to 100.
Refer above notes for more details.

{
    "index": {
        "indexType": "Resume",
        "indexKey": "Use Your Indexkey"
    },
    "query": {
        "keyword": "Software Developer with 15 years of experience and have B.Tech from Pune worked Wipro having knowledge of Java and PHP"
    },
    "resumeWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 35,
            "Child": {
                "CurrentJobProfile": 100,
                "JobProfile": 80,
                "CurrentJobAlias": 80,
                "JobAlias": 60
            }
        },
        {
            "Parent": "Employer",
            "Weight": 5,
            "Child": {
                "CurrentEmployer": 100,
                "Employer": 80
            }
        },
        {
            "Parent": "Skill",
            "Weight": 15,
            "Child": {
                "SkillHaveExp": 100,
                "SkillWithoutExp": 80,
                "SkillAlias": 60
            }
        },
        {
            "Parent": "Degree",
            "Weight": 10,
            "Child": {
                "HighestDegree": 100,
                "Degree": 80
            }
        },
        {
            "Parent": "City",
            "Weight": 5,
            "Child": {
                "AddressCity": 100,
                "CurrentCity": 100,
                "CurrentEmployerCity": 100,
                "PreferredCity": 90,
                "EmployerCity": 90,
                "EducationCity": 50
            }
        },
        {
            "Parent": "State",
            "Weight": 5,
            "Child": {
                "AddressState": 100,
                "CurrentState": 100,
                "CurrentEmployerState": 100,
                "PreferredState": 90,
                "EmployerState": 90,
                "EducationState": 50
            }
        },
        {
            "Parent": "Country",
            "Weight": 5,
            "Child": {
                "AddressCountry": 100,
                "CurrentCountry": 100,
                "CurrentEmployerCountry": 100,
                "PreferredCountry": 90,
                "EmployerCountry": 90,
                "EducationCountry": 50
            }
        },
        {
            "Parent": "TotalExperienceInYear",
            "Weight": 10
        },
        {
            "Parent": "Category",
            "Weight": 5
        },
        {
            "Parent": "SubCategory",
            "Weight": 5
        }
    ],
    "pageSize": 5,
    "pageStart": 0,
    "explainScore": true,
    "explainScoreType": "json",
    "partialMatch": true,
    "explainWeightage": true
}

Sample Response of Simple Search API with Dynamic Resume Weightage

{
    "count": 187,
    "pageStart": 0,
    "pageSize": 5,
    "records": [
        {
            "id": "221021023106106JHIB5SCN",
            "score": 71.25,
            "CurrentEmployer": "HAVI Solutions",
            "TotalExperienceInYear": 19.4,
            "CurrentJobProfile": "Software developer",
            "FullName": "Raul Torres"
        },
        {
            "id": "2210210220171017G5G7EP71",
            "score": 71.25,
            "CurrentEmployer": "Perspecta",
            "TotalExperienceInYear": 28.0,
            "CurrentJobProfile": "Software Engineer",
            "State": "Massachusetts",
            "FullName": "Laurence J. Guild",
            "Country": "USA",
            "City": "Marlborough"
        },
        {
            "id": "2210210231361036ED4H7T24",
            "score": 68.75,
            "CurrentEmployer": "Ace Technologies",
            "TotalExperienceInYear": 16.1,
            "CurrentJobProfile": "Software Developer",
            "FullName": "Rajesh Balli",
            "City": "Ilford"
        },
        {
            "id": "17",
            "score": 66.26,
            "CurrentEmployer": "Ministry of Justice",
            "TotalExperienceInYear": 22.11,
            "CurrentJobProfile": "Java Developer",
            "State": "London",
            "FullName": "Artur Synowiec",
            "Country": "UK",
            "SubUserId": "sanjoli1",
            "City": "London"
        },
        {
            "id": "2210210210381038YU6ZWRS1",
            "score": 60.31,
            "CurrentEmployer": "De La Rue",
            "TotalExperienceInYear": 15.2,
            "CurrentJobProfile": "Sr. Software Developer/Lead Software Developer",
            "State": "Karnataka",
            "FullName": "Gutta Sravanthi",
            "Country": "India",
            "City": "Bangalore"
        }
    ],
    "explainScore": [
        {
            "id": "2210210210381038YU6ZWRS1",
            "explaination": {
                "score": "60.31",
                "maxScore": 100.0,
                "SimpleSearch": {
                    "score": 60.31,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 32.81,
                            "maxScore": 43.75,
                            "entity": "CurrentJobProfile",
                            "value": "software developer - (Partial Match)"
                        },
                        {
                            "score": 12.5,
                            "maxScore": 12.5,
                            "entity": "TotalExperienceInYear",
                            "value": "[15.0 TO Infinity]"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 12.5,
                            "entity": "Degree",
                            "value": "B.tech"
                        },
                        {
                            "score": 7.5,
                            "maxScore": 9.38,
                            "entity": "SkillWithoutExp",
                            "value": "java"
                        },
                        {
                            "score": 7.5,
                            "maxScore": 9.38,
                            "entity": "SkillWithoutExp",
                            "value": "php"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "Employer",
                            "value": "Wipro"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "City",
                            "value": "Pune"
                        }
                    ]
                }
            }
        },
        {
            "id": "17",
            "SubUserId": "sanjoli1",
            "explaination": {
                "score": "66.26",
                "maxScore": 100.0,
                "SimpleSearch": {
                    "score": 66.26,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 35.0,
                            "maxScore": 43.75,
                            "entity": "JobProfile",
                            "value": "software developer"
                        },
                        {
                            "score": 12.5,
                            "maxScore": 12.5,
                            "entity": "TotalExperienceInYear",
                            "value": "[15.0 TO Infinity]"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 12.5,
                            "entity": "Degree",
                            "value": "B.tech"
                        },
                        {
                            "score": 9.38,
                            "maxScore": 9.38,
                            "entity": "SkillHaveExp",
                            "value": "java"
                        },
                        {
                            "score": 9.38,
                            "maxScore": 9.38,
                            "entity": "SkillHaveExp",
                            "value": "php"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "Employer",
                            "value": "Wipro"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "City",
                            "value": "Pune"
                        }
                    ]
                }
            }
        },
        {
            "id": "2210210231361036ED4H7T24",
            "explaination": {
                "score": "68.75",
                "maxScore": 100.0,
                "SimpleSearch": {
                    "score": 68.75,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 43.75,
                            "maxScore": 43.75,
                            "entity": "CurrentJobProfile",
                            "value": "software developer"
                        },
                        {
                            "score": 12.5,
                            "maxScore": 12.5,
                            "entity": "TotalExperienceInYear",
                            "value": "[15.0 TO Infinity]"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 12.5,
                            "entity": "Degree",
                            "value": "B.tech"
                        },
                        {
                            "score": 7.5,
                            "maxScore": 9.38,
                            "entity": "SkillWithoutExp",
                            "value": "java"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 9.38,
                            "entity": "Skill",
                            "value": "Php"
                        },
                        {
                            "score": 5.0,
                            "maxScore": 6.25,
                            "entity": "Employer",
                            "value": "wipro"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "City",
                            "value": "Pune"
                        }
                    ]
                }
            }
        },
        {
            "id": "221021023106106JHIB5SCN",
            "explaination": {
                "score": "71.25",
                "maxScore": 100.0,
                "SimpleSearch": {
                    "score": 71.25,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 43.75,
                            "maxScore": 43.75,
                            "entity": "CurrentJobProfile",
                            "value": "software developer"
                        },
                        {
                            "score": 12.5,
                            "maxScore": 12.5,
                            "entity": "TotalExperienceInYear",
                            "value": "[15.0 TO Infinity]"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 12.5,
                            "entity": "Degree",
                            "value": "B.tech"
                        },
                        {
                            "score": 7.5,
                            "maxScore": 9.38,
                            "entity": "SkillWithoutExp",
                            "value": "java"
                        },
                        {
                            "score": 7.5,
                            "maxScore": 9.38,
                            "entity": "SkillWithoutExp",
                            "value": "php"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "Employer",
                            "value": "Wipro"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "City",
                            "value": "Pune"
                        }
                    ]
                }
            }
        },
        {
            "id": "2210210220171017G5G7EP71",
            "explaination": {
                "score": "71.25",
                "maxScore": 100.0,
                "SimpleSearch": {
                    "score": 71.25,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 43.75,
                            "maxScore": 43.75,
                            "entity": "CurrentJobAlias",
                            "value": "software developer"
                        },
                        {
                            "score": 12.5,
                            "maxScore": 12.5,
                            "entity": "TotalExperienceInYear",
                            "value": "[15.0 TO Infinity]"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 12.5,
                            "entity": "Degree",
                            "value": "B.tech"
                        },
                        {
                            "score": 7.5,
                            "maxScore": 9.38,
                            "entity": "SkillWithoutExp",
                            "value": "java"
                        },
                        {
                            "score": 7.5,
                            "maxScore": 9.38,
                            "entity": "SkillWithoutExp",
                            "value": "php"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "Employer",
                            "value": "Wipro"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 6.25,
                            "entity": "City",
                            "value": "Pune"
                        }
                    ]
                }
            }
        }
    ],
    "resumeWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 35.0,
            "Child": {
                "CurrentJobProfile": 100.0,
                "CurrentJobAlias": 80.0,
                "JobProfile": 80.0,
                "JobAlias": 60.0
            }
        },
        {
            "Parent": "Employer",
            "Weight": 5.0,
            "Child": {
                "CurrentEmployer": 100.0,
                "Employer": 80.0
            }
        },
        {
            "Parent": "Skill",
            "Weight": 15.0,
            "Child": {
                "SkillHaveExp": 100.0,
                "SkillAlias": 60.0,
                "SkillWithoutExp": 80.0
            }
        },
        {
            "Parent": "Degree",
            "Weight": 10.0,
            "Child": {
                "HighestDegree": 100.0,
                "Degree": 80.0
            }
        },
        {
            "Parent": "City",
            "Weight": 5.0,
            "Child": {
                "EmployerCity": 90.0,
                "AddressCity": 100.0,
                "CurrentCity": 100.0,
                "EducationCity": 50.0,
                "PreferredCity": 90.0,
                "CurrentEmployerCity": 100.0
            }
        },
        {
            "Parent": "State",
            "Weight": 5.0,
            "Child": {
                "EducationState": 50.0,
                "CurrentState": 100.0,
                "PreferredState": 90.0,
                "EmployerState": 90.0,
                "CurrentEmployerState": 100.0,
                "AddressState": 100.0
            }
        },
        {
            "Parent": "Country",
            "Weight": 5.0,
            "Child": {
                "PreferredCountry": 90.0,
                "EducationCountry": 50.0,
                "CurrentCountry": 100.0,
                "EmployerCountry": 90.0,
                "AddressCountry": 100.0,
                "CurrentEmployerCountry": 100.0
            }
        },
        {
            "Parent": "TotalExperienceInYear",
            "Weight": 10.0
        },
        {
            "Parent": "Category",
            "Weight": 5.0
        },
        {
            "Parent": "SubCategory",
            "Weight": 5.0
        }
    ]
}

Dynamic Weightage in Boolean Search

In the boolean (advance) search, unlike simple search, you can customize your search by specifying search entities like - Job Profile, Company, Degree, etc. and apply boolean condition as necessary. Refer Boolean Search for more details.

Now, you can add dynamic Resume/JD weightage (resumeWeightage or jdWeightage parameter) for each Boolean Search API request. See below sample request and response for Boolean Search API request with dynamic JD weightage.

Sample Request of Match with Dynamic JD Weightage

Note:

Below sample request contains dynamic JD weightage (jdWeightage parameter), similarly you can pass dynamic resume weightage (resumeWeightage parameter) as necessary.
For the Boolean Search API request, dynamic weightage parameter (resumeWeightage or jdWeightage) is based on the indexType entity. If indexType is Resume, then you must use resumeWeightage, and if indexType is JD, then jdWeightage must be used.
You can change the weightage for different entities based on your requirement, and the API returns the response based on the weightage for different entities passed in the API request.
When you change weightage for one entity, for example, JobProfile weightage is changed to 55 from 35, then the weightage for different entities must be changed as well such that the total wieghtage of all entities in the API request is less than or equal to 100.
Refer above notes for more details.
Refer Boolean Search for more details and the entities to which you can apply dynamic weightage in the Boolean search.

{
    "index": {
        "indexType": "JD",
        "indexKey": "Use Your Userkey"
    },
    "query": {
        "required": {
            "JobProfile": [
                "Java Developer"
            ],
            "Skill": [
                "Java"
            ]
        }
    },
    "jdWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 5,
            "Child": {
                "JobProfileTitle": 100,
                "JobProfile": 80,
                "JobProfileAlias": 60
            }
        },
        {
            "Parent": "Organization",
            "Weight": 0
        },
        {
            "Parent": "Skill",
            "Weight": 95,
            "Child": {
                "RequiredSkillSet": 100,
                "PreferredSkillSet": 80,
                "AliasSkillSet": 60,
                "JobProfileRelatedSkills": 80
            }
        },
        {
            "Parent": "Degree",
            "Weight": 0,
            "Child": {
                "QualificationsRequired": 100,
                "QualificationsPreferred": 80
            }
        },
        {
            "Parent": "ExperienceRequired",
            "Weight": 0,
            "Child": {
                "MinimumYearsExperience": 100,
                "MaximumYearsExperience": 100
            }
        },
        {
            "Parent": "JobLocationCity",
            "Weight": 0
        },
        {
            "Parent": "JobLocationState",
            "Weight": 0
        },
        {
            "Parent": "JobLocationCountry",
            "Weight": 0
        },
        {
            "Parent": "IndustryType",
            "Weight": 0
        },
        {
            "Parent": "Domains",
            "Weight": 0
        }
    ],
    "geoSearchScore": 30,
    "pageSize": 100,
    "pageStart": 0,
    "explainScore": true,
    "explainScoreType": "json"
}

Sample Response of Boolean Search API with Dynamic JD Weightage

{
    "count": 1,
    "pageStart": 0,
    "pageSize": 100,
    "records": [
        {
            "id": "4",
            "score": 100.0,
            "JobProfile": "Java Developer",
            "Degree": [
                "Bachelor"
            ],
            "Employer": "AcmeMinds",
            "City": "Chandigarh",
            "Country": "India",
            "SubUserId": "manisha",
            "State": "Chandigarh"
        }
    ],
    "explainScore": [
        {
            "id": "4",
            "SubUserId": "manisha",
            "explaination": {
                "score": 100.0,
                "maxScore": 100.0,
                "BooleanSearch": {
                    "score": 100.0,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 95.0,
                            "maxScore": 95.0,
                            "entity": "SkillSet",
                            "condition": "Required",
                            "value": "java OR java"
                        },
                        {
                            "score": 5.0,
                            "maxScore": 5.0,
                            "entity": "JobProfileTitle",
                            "condition": "Required",
                            "value": "java developer"
                        }
                    ]
                }
            }
        }
    ]
}

Dynamic Weightage in Match

Match API finds Resumes/Job Descriptions matching your input documents, refer Match for more details.

Now, you can add dynamic Resume/JD weightage (resumeWeightage or jdWeightage parameter) for each Match API request. See below sample request and response for Match API request with dynamic JD weightage.

Sample Request of Match with Dynamic JD Weightage

Note:

Below sample request contains dynamic JD weightage (jdWeightage parameter), similarly you can pass dynamic resume weightage (resumeWeightage parameter) as necessary.
For the Match API request, dynamic weightage parameter (resumeWeightage or jdWeightage) is based on the docType entity. If docType is Resume, then you must use resumeWeightage, and if docType is JD, then jdWeightage must be used.
You can change the weightage for different entities based on your requirement, and the API returns the response based on the weightage for different entities passed in the API request.
When you change weightage for one entity, for example, JobProfile weightage is changed to 55 from 35, then the weightage for different entities must be changed as well such that the total wieghtage of all entities in the API request is less than or equal to 100.
Refer above notes for more details.

{
    "index": {
        "indexType": "Resume",
        "indexKey": "Use Your Indexkey"
    },
    "match": {
        "docType": "JD",
        "jsonData": "{
    "JDParsedData": {
        "FileName": "4430_Data Scientist 905.docx",
        "JDLanguage": {
            "Language": "English",
            "LanguageCode": "en"
        },
        "ParsingDate": "08/07/2022 12:11:46.916",
        "JobProfile": {
            "Title": "Data Scientist",
            "Alias": "Applied Data Scientist, Data -Scientist, Data analytics scientist, Data Mining Scientist, Data Research Scientist, Data Science Developer, Data Science Specialist, Data scientist - data and analytics, Data-Scientist, enterprise data scientist, It Works Data Scientist, network data scientist, Research Data Scientist, Specialist - Data Science, Specialist Data Scientist, strategic data scientist, trainee data scientist",
            "FormattedName": "Data Scientist",
            "RelatedSkills": [
                {
                    "Skill": "Analytical Modeling",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Analyse Business Objectives",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Establish Data Processes",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Develop Data Processing Applications",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Applied Machine Learning",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Deep Learning",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Forecasting",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Soft"
                },
                {
                    "Skill": "Data Science",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Architecture",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Exploratory Research",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Exponential Smoothing",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Analytics Framework",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Data Governance",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Sharing",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Replication",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Availability",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Compliance",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Intuition",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Edge Analytics",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Mining",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Amazon SageMaker",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "BigQuery",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "Markov Chain",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Agile Data Science",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Real-Time Computing",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                }
            ],
            "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Scientist"
        },
        "Organization": "Collabera",
        "StaffingAgency": "",
        "AboutOrganization": "",
        "JobLocation": {
            "Location": "New York , NY",
            "City": "New York",
            "State": "New York",
            "Country": "USA",
            "IsoCountryCode": "US",
            "ZipCode": ""
        },
        "JobCode": "",
        "JobType": "",
        "JobShift": "",
        "IsManagementJob": "false",
        "IndustryType": "",
        "ExcecutiveType": "Information",
        "PostedOnDate": "",
        "ClosingDate": "",
        "ExperienceRequired": {
            "MinimumYearsExperience": "5 Years",
            "MaximumYearsExperience": ""
        },
        "ContractDuration": "",
        "HasContract": "false",
        "SalaryOffered": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "BillRate": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "NoticePeriod": "",
        "NoOfOpenings": "",
        "Relocation": "",
        "Languages": "",
        "PreferredDemographic": {
            "Nationality": "",
            "Visa": "",
            "AgeLimit": "",
            "Others": ""
        },
        "Domains": [
            "Research And Development"
        ],
        "Qualifications": {
            "Preferred": [
                "Undergraduate degree"
            ],
            "Required": []
        },
        "Certifications": {
            "Preferred": [],
            "Required": []
        },
        "Skills": {
            "Preferred": [
                {
                    "Skill": "API",
                    "Type": "OperationalSkill",
                    "Alias": "API, api automation framework, api automation frameworks, api automation platforms, API Framework, API Frameworks, apis development, Application Processing Interfaces, Application program interface, Application Programming Interface Development, Application Programming Interface Integration, application programming interfaces, Application-Programming Interface, Application-Programming-Interface, Framework Api, Frameworks Api, interface applications, Programmatic Interfaces, programming interface, Web Api Framework, Web Api Frameworks",
                    "FormattedName": "Application Programming Interface",
                    "Ontology": "Information>Software Developers and Programmers>Application Programming Interface"
                },
                {
                    "Skill": "Airflow",
                    "Type": "OperationalSkill",
                    "Alias": "Airflow, Airflow 1.10, airflow 2.0, Apache Airflow 1.10, Apache airflow 2.0, Apache Airflow 2.0.2, Apache Airflow soft, Apache Airflow Software, Apache Airflow tool, Apache Airflow v1.10.12, Apache Airflow v2.0.2",
                    "FormattedName": "Apache Airflow",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Airflow"
                },
                {
                    "Skill": "Apache Beam",
                    "Type": "OperationalSkill",
                    "Alias": "Apache Beam sdk, Apache Beam soft, Apache Beam software, Apache Beam tool, Beam SDK 2.35.0",
                    "FormattedName": "Apache Beam",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Beam"
                },
                {
                    "Skill": "Architecting",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Big Data",
                    "Type": "OperationalSkill",
                    "Alias": "Big Data Cloud, Big Data Databases, Big Data Operations, Big Data Production, Big Data Programming, Big Data Solutions, Big Data Technologies, Big Data Technology, Big Data Technology Operations, Big-Data, BigData, Bigdata Operations, Manage A Huge Amount, Massive Big Data, Massive Data Sets, Massive Datasets, Massive-Data-Sets, Massive-Datasets",
                    "FormattedName": "Big Data",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Big Data"
                },
                {
                    "Skill": "Capital Markets",
                    "Type": "OperationalSkill",
                    "Alias": "Capital Market, Capital Market Finance, Capital Market Trading, Capital Market Trading System, Capital Market Trading Systems, capital markets, capital markets processes, Capital-Market, Equity Capital Markets, Equity Market, Finance Capital Market, share market, stock market operations, Stock Markets",
                    "FormattedName": "Stock Market",
                    "Ontology": "Wholesale Trade>Securities, Commodities, and Financial Services Sales Agents>Stock Market"
                },
                {
                    "Skill": "Collaborating",
                    "Type": "SoftSkill",
                    "Alias": "Ability to Collaborate Effectively, collaborating, Collaboration Skills, collaborative, collaborative skills",
                    "FormattedName": "Collaboration",
                    "Ontology": "Management of Companies and Enterprises>Chief Executives>Collaboration"
                },
                {
                    "Skill": "Commitment",
                    "Type": "SoftSkill",
                    "Alias": "Commitments, committed",
                    "FormattedName": "Commitment",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Commitment"
                },
                {
                    "Skill": "Data Pipeline",
                    "Type": "OperationalSkill",
                    "Alias": "data pipeline, pipelines",
                    "FormattedName": "Pipeline",
                    "Ontology": "Information>Software Developers and Programmers>Pipeline"
                },
                {
                    "Skill": "Data Pipelines",
                    "Type": "OperationalSkill",
                    "Alias": "analytics pipeline management, big data pipeline design, Big Data Pipelines, Big-Data-Pipelines, Bigdata Pipelines, Building Data Pipelines, Building-Data Pipelines, Data Acquisition Pipelines, Data Analysis Pipelines, Data-Pipelines, Pipeline Data, Pipeline-Data",
                    "FormattedName": "Data Pipelines",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Pipelines"
                },
                {
                    "Skill": "Data Science",
                    "Type": "OperationalSkill",
                    "Alias": "Data Science and Analysis, Data Science And Analytics, Data Science Operations, Data-science, Statistical Data Science",
                    "FormattedName": "Data Science",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Science"
                },
                {
                    "Skill": "Data Sets",
                    "Type": "OperationalSkill",
                    "Alias": "data sets, Data-Set, Datasets",
                    "FormattedName": "Data Set",
                    "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Set"
                },
                {
                    "Skill": "Databases",
                    "Type": "OperationalSkill",
                    "Alias": "basic database management, Data Base Management, Data Base mgmt, database mgmt, Database Mgmt., Database-Management, databases, Databases Management, DB Management, DB mgmt, Management Database, Management Databases, Management of Database, Management-Database, Managing a database, Managing Database, managing database operation, managing database operations, Managing Database Software Products, managing databases, Managing Development Databases",
                    "FormattedName": "Database Management",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Database Management"
                },
                {
                    "Skill": "Datasets",
                    "Type": "OperationalSkill",
                    "Alias": "data sets, Data-Set, Datasets",
                    "FormattedName": "Data Set",
                    "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Set"
                },
                {
                    "Skill": "Dedicated",
                    "Type": "SoftSkill",
                    "Alias": "dedicated, Dedicated To Work, dedicated towards work, dedicated worker, dedication to work",
                    "FormattedName": "Dedication",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Dedication"
                },
                {
                    "Skill": "Developing",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Finance",
                    "Type": "OperationalSkill",
                    "Alias": "Financing, Financings",
                    "FormattedName": "Finance",
                    "Ontology": "Finance and Insurance>Financial Specialists>Finance"
                },
                {
                    "Skill": "Flexibility",
                    "Type": "SoftSkill",
                    "Alias": "elasticity, Flexibility, Resilience",
                    "FormattedName": "Resiliency",
                    "Ontology": "Arts, Entertainment, and Recreation>Psychologists>Resiliency"
                },
                {
                    "Skill": "Framework",
                    "Type": "OperationalSkill",
                    "Alias": "Application Programming Framework, Application Programming Frameworks, Application Software Framework Development, computer software framework, Computing Framework, Computing Frameworks, Frame Work, frame works, Framework, Framework Development, Framework Software, frameworks, It Systems Framework, Programming Frame Work, Programming Framework, Programming Frameworks, Soft. Framework, Software Design Framework, Software Frameworks, Software Services Frame work, Software Services Framework, Software-Framework",
                    "FormattedName": "Software Framework",
                    "Ontology": "Information>Software Developers and Programmers>Software Framework"
                },
                {
                    "Skill": "Hadoop",
                    "Type": "OperationalSkill",
                    "Alias": "Analytics Hadoop, Apache Frame Work, Apache Hadoop 2.4.1, Apache Hadoop 2.7, Apache Hadoop 2.7.3, Apache Hadoop 2.7.5, Apache Hadoop 2.9.2, Apache Hadoop 3.3.1, Apache Hadoop 7.6.2, Apache Hadoop Bigdata, Apache Hadoop Cluster, Apache Hadoop Framework, Apache Hadoop Open Source, Apache Hadoop Soft, Apache Hadoop Soft., Apache Hadoop software, Apache Hadoop version 1.0, Apache Hadoop version 3.0, Apache Hadoop version 7.6.2, Big Data Apache, Big Data Framework Hadoop, Big Data Hadoop, Big Data Hadoop Framework, Bigdata Hadoop, Framework Hadoop, Hadoop, Hadoop 2.7, Hadoop 2.7.5, Hadoop 3.1.0, Hadoop 3.3.1, Hadoop analytics, Hadoop Big Data, Hadoop Big Data Analytics Framework, Hadoop Big Data Frame Work, Hadoop Big Data Framework, Hadoop Big Data Technology, Hadoop Bigdata, Hadoop Bigdata Frame Work, Hadoop Frame Work, Hadoop Framework, Hadoop Framework Development, Hadoop Ibm, Hadoop Infrastructure, Hadoop Open Source, Hadoop Version 3.0, Hadoop2, Open Source Apache Hadoop",
                    "FormattedName": "Apache Hadoop",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Hadoop"
                },
                {
                    "Skill": "Hadoop Ecosystem",
                    "Type": "OperationalSkill",
                    "Alias": "Hadoop Ecosystem Design, Hadoop Ecosystem platform, Hadoop Ecosystem software, Mapreduce Ecosystem",
                    "FormattedName": "Hadoop Ecosystem",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Hadoop Ecosystem"
                },
                {
                    "Skill": "Kafka",
                    "Type": "OperationalSkill",
                    "Alias": "Apache Kafka 1.1.1, Apache Kafka 2.2.1, Apache Kafka 2.3.1, Apache Kafka 2.4.1, Apache Kafka 2.5.1, Apache Kafka 2.6.0, Apache Kafka 2.6.1, Apache Kafka 2.6.2, Apache Kafka 2.6.3, Apache Kafka 2.7.0, Apache Kafka 2.7.1, Apache Kafka 2.7.2, Apache Kafka 2.8, Apache Kafka 2.8.0, Apache Kafka 2.8.1, Apache Kafka 3.0, Apache Kafka 3.1.0, Apache Kafka platform, Apache Kafka Soft., Apache Kafka Software, Apache Kafka version 2.8.0, Apache Kafka version 2.8.1, kafka, Kafka Clusters, Kafka Framework",
                    "FormattedName": "Apache Kafka",
                    "Ontology": "Information>Software Developers, Applications>Apache Kafka"
                },
                {
                    "Skill": "Lifelong Learning",
                    "Type": "OperationalSkill",
                    "Alias": "Continual Learning, Continuous Learning, Continuous-Learning, Lifelong-learning, Ongoing Learning, Ongoing Learning About New Systems And Materials",
                    "FormattedName": "Lifelong Learning",
                    "Ontology": "Finance and Insurance>Training and Development Specialists>Lifelong Learning"
                },
                {
                    "Skill": "Massive",
                    "Type": "OperationalSkill",
                    "Alias": "Massive, NI Massive Soft, NI Massive Software",
                    "FormattedName": "NI Massive",
                    "Ontology": "Information>Music Publishers>NI Massive"
                },
                {
                    "Skill": "NoSQL Databases",
                    "Type": "OperationalSkill",
                    "Alias": "no sql, No SQL Databases, No-Sql, non SQL, non sql server, Nosql Architecture, Nosql Database, NoSQL databases, NoSQL Datasets, nosql db, nosql dbs, NoSQL Integration, nosql server, nosql soft, nosql software, NoSQL storage, nosql storage systems, Not Only SQL database, Not Only SQL db, software NoSQL",
                    "FormattedName": "NoSQL",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>NoSQL"
                },
                {
                    "Skill": "Operations",
                    "Type": "OperationalSkill",
                    "Alias": "Business Operations Management, business operations mgmt, daily operational management, effective operations management, Executive Operations Management, general operations, labor operations management, manage business operations, Manage operations, manage the daily operations, manage the overall operations, managed business operations, Managed Operations, Managed The Operations, management operations, Manages Operations, Office Operational Management, Operation Management, operational administration, operational functions, Operational Management, Operations, Operations administration, Operations And Management, operations coordination, operations corporate management, operations execution, Operations Management Consulting, Operations managing, operations mgmt, operations processes, operations techniques, Operations-Management, operative management, organizational operations, System Operation Management",
                    "FormattedName": "Operations Management",
                    "Ontology": "Management of Companies and Enterprises>General and Operations Managers>Operations Management"
                },
                {
                    "Skill": "Organized",
                    "Type": "SoftSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Pandas",
                    "Type": "OperationalSkill",
                    "Alias": "pandas 0.25, Pandas 1.0, pandas 1.0.0, Pandas 1.4, Pandas 1.4.0, pandas 1.4.1, Pandas Framework, pandas software, Pandas Version 1.0, Python Pandas",
                    "FormattedName": "pandas",
                    "Ontology": "Information>Software Developers, Applications>pandas"
                },
                {
                    "Skill": "Publishing",
                    "Type": "OperationalSkill",
                    "Alias": "book publishing, publishing articles, publishing books, Publishing Retail",
                    "FormattedName": "Publishing",
                    "Ontology": "Arts, Entertainment, and Recreation>Independent Artists, Writers, and Performers>Publishing"
                },
                {
                    "Skill": "PySpark",
                    "Type": "OperationalSkill",
                    "Alias": "Pyspark 3.0, PySpark 3.2.0",
                    "FormattedName": "Pyspark",
                    "Ontology": "Information>Software Developers and Programmers>Pyspark"
                },
                {
                    "Skill": "Qliksense",
                    "Type": "OperationalSkill",
                    "Alias": "Qlik Sense, qlik sense bi tool, qlik sense cloud, qlik sense dashboard, Qlik Sense Reporting, Qlik Sense Reporting Tool, Qlik Sense Visualization, Qlik Sense Visualizations, QlikSense software, software QlikSense",
                    "FormattedName": "QlikSense",
                    "Ontology": "Information>Statisticians>QlikSense"
                },
                {
                    "Skill": "SQL",
                    "Type": "OperationalSkill",
                    "Alias": "Advanced SQL, Advanced SQL Programming, Coding Sql, Database SQL, Databases SQL, Microsoft Sql Programming, Oracle SQL, Oracle Sql Programming, Oracle Sql2005, Programming Language Sql, programming languages sql, Programming Sql, Sql 2000, Sql 2005, Sql 2008, sql coding, SQL computer language, Sql Database, sql databases, SQL language, sql oracle, sql programming, SQL Programming language, sql queries, sql2005, sqldb, structured query language, structured-query-language",
                    "FormattedName": "SQL",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>SQL"
                },
                {
                    "Skill": "Staffing",
                    "Type": "OperationalSkill",
                    "Alias": "Agency Recruiting, Agency-Recruiting, develop recruitment, employee hiring, employee recruitment, Engineering Recruiting, Engineering Recruitment, Engineering-Recruiting, Engineering-Recruitment, hire personnel, hiring, hiring employees, Hiring Management, hiring personnel, hiring process, Hiring Staff, Human Resource Recruiting, human resource recruitment, Human Resources Recruitment, manage the recruitment process, managed the hiring process, managed the recruitment, personnel hiring, personnel recruiting, Personnel recruitment, recruit management, Recruit Personnel, recruiting, Recruiting Human Resources, Recruiting Management, recruiting personnel, Recruiting Process, Recruiting Talent, recruitment coordination, Recruitment management, Recruitment Mgmt, recruitment of staff, Recruitment Operations, Recruitment Process, recruitment skills, Selecting Staff, staff hiring, staff Hiring management, Staff Recruiting, Staff Recruitment, Staffing, Staffing and Recruiting, Stafﬁng Services",
                    "FormattedName": "Recruitment",
                    "Ontology": "Finance and Insurance>Human Resources Specialists>Recruitment"
                },
                {
                    "Skill": "Tableau",
                    "Type": "OperationalSkill",
                    "Alias": "software tableau, Tableau, Tableau 10.0, Tableau 10.1, Tableau 10.2, Tableau 10.3, Tableau 10.4, Tableau 10.5, Tableau 2018.1, Tableau 2018.2, Tableau 2018.3, Tableau 2019.2, Tableau 2019.3, Tableau 2019.4, Tableau 2020.1, Tableau 2020.2, Tableau 2020.3, Tableau 7, Tableau 8.0, Tableau 8.1, Tableau 8.2, Tableau 8.3, Tableau 9.3, Tableau Analytics, Tableau Bi Tool, Tableau Infrastructure, Tableau Reader, Tableau Reader 10.2, Tableau Reader 10.3, Tableau Reader 10.5., Tableau Reader Soft., Tableau Reader Software, tableau reporting, tableau reporting software, tableau reporting solutions, Tableau Reporting Tool, Tableau version 10.2, Tableau version 10.3, Tableau version 10.4",
                    "FormattedName": "Tableau Software",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Visualization Software>Tableau Software"
                },
                {
                    "Skill": "Training",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "Training",
                    "Ontology": "Finance and Insurance>Training and Development Specialists>Training"
                },
                {
                    "Skill": "XML",
                    "Type": "OperationalSkill",
                    "Alias": "Coding xml, Extensible Markup Lang., Extensible Markup Language, XML 1.1, XML API, Xml Coding, xml data, XML Processing, XML Programming, xml scripting, xml software, XML Technology",
                    "FormattedName": "XML",
                    "Ontology": "Information>Software Developers and Programmers>XML"
                }
            ],
            "Required": [
                {
                    "Skill": "Computer Science",
                    "Type": "OperationalSkill",
                    "Alias": "Computer Science Engineering, Computer-Science",
                    "FormattedName": "Computer Science",
                    "Ontology": "Information>Software Developers and Programmers>Computer Science"
                },
                {
                    "Skill": "Discipline",
                    "Type": "SoftSkill",
                    "Alias": "Disciplined, Self Discipline, Self Disciplined, Self-Discipline, Self-Disciplined",
                    "FormattedName": "Discipline",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Discipline"
                },
                {
                    "Skill": "Financial Engineering",
                    "Type": "OperationalSkill",
                    "Alias": "Engg Finance, Engg Finance Process, Engineering Finance, Engineering Finance Process, finance engg, Finance Engineering, Financial Data Engineering, financial engg, Financial-Engineering, fiscal engineering",
                    "FormattedName": "Financial Engineering",
                    "Ontology": "Finance and Insurance>Financial Analysts and Advisors>Financial Engineering"
                },
                {
                    "Skill": "Mathematics",
                    "Type": "OperationalSkill",
                    "Alias": "basic mathematical, basic mathematics, Math Detail, Mathematical Basis",
                    "FormattedName": "Mathematics",
                    "Ontology": "Information>Mathematicians>Mathematics"
                },
                {
                    "Skill": "Programming Skills",
                    "Type": "OperationalSkill",
                    "Alias": "advanced programming, code programming, Coding, coding languages, coding skills, Computer Lang., Computer Language, Computer programming, Computer Programming Lang., Computer Programming Language, Computer Science Programming, development languages, its programming, Operations Programming, Programming, Programming Coding, programming concepts, Programming Lang., Programming Languages, programming skills, Programming-Language, Software & Programming Languages, software coding, Software Programming",
                    "FormattedName": "Programming Language",
                    "Ontology": "Information>Software Developers and Programmers>Programming Language"
                },
                {
                    "Skill": "Python",
                    "Type": "OperationalSkill",
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        "Responsibilities": "Utilize data science techniques combined with intuitive design, flexibility, and accuracy to develop first class preventive business controls\nArchitecting massive reservoirs for big data and ensuring that our data pipeline provides clean, organized, and aggregated data that can be utilized by our alert framework\nCollaborating with the business, finance and operations to investigate and implement controls\nImproving and maintaining existing models\nWorking with and connecting various datasets ( Trade orders, executions, PnL, client value, sanctions, booking models, legal entity flows, eComms, expenses, ops losses, external/internal reference data )\nDeveloping labelling Model to identify root cause before publishing alerts\nDeveloping analytic dashboards to visualize and monitor control profiles\nWorking with API's and modern/legacy databases",
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        "JobDescription": "Data Scientist\nCollabera\nNew York , NY \n\nOverview\n  1991 To Till , Collabera has been a leading provider of IT staffing solutions and services. We are known for providing the best staffing experience and taking great care of our clients and employees.\n\nOur client-centric model provides focus , commitment and a dedicated team to help our clients achieve their business objectives. For consultants and employees , we offer an enriching experience that promotes career growth and lifelong learning.\n\nKey Responsibilities\n\nUtilize data science techniques combined with intuitive design , flexibility , and accuracy to develop first class preventive business controls\nArchitecting massive reservoirs for big data and ensuring that our data pipeline provides clean , organized , and aggregated data that can be utilized by our alert framework\nCollaborating with the business , finance and operations to investigate and implement controls\nImproving and maintaining existing models\nWorking with and connecting various datasets ( Trade orders , executions , PnL , client value , sanctions , booking models , legal entity flows , eComms , expenses , ops losses , external/internal reference data ) \nDeveloping labelling Model to identify root cause before publishing alerts\nDeveloping analytic dashboards to visualize and monitor control profiles\nWorking with API's and modern/legacy databases\n\n \nQualifications\n\n5 years' experience working with large data sets within capital markets\nUndergraduate degree in a quantitative discipline such as computer science , mathematics , statistics , engineering or financial engineering is required\nStrong programming skills in modern python are required\nSolid experience working with pySpark and Hadoop ecosystem at scale is desired\nExperience working with real-time data pipelines ( Kafka , Apache Beam ) is preferred\nExperience and/or training in data science and statistical modelling\nExperience using pandas , Airflow , scikit-learn , spacy\nExperience working with Tableau or Qliksense/Qlikview is desired\nProficient in SQL , NoSQL databases , and working with API's\nProficient working with nested JSON's and XML's\n\nData Scientist , Hadoop , Pyspark , SQL\n \nRecommended skills\nPyspark\n \nData Pipeline\n \nData Science\n \nQlikview\n \nReal Time Data\n",
        "JDHtmlData": "<html><head><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" /><meta http-equiv=\"Content-Style-Type\" content=\"text/css\" /><meta name=\"generator\" content=\"Aspose.Words for Java 14.4.1.0\" /><title></title></head><body><div><h1 style=\"line-height:24pt; margin:0pt\"><span style=\"color:#182642; font-family:Arial; font-size:24pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Data Scientist</span></h1><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">Collabera</span></p><h3 style=\"line-height:12pt; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">New York, NY</span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">&#xa0;</span></h3><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p><h3 style=\"line-height:13.5pt; margin:0pt\"><span style=\"color:#182642; font-family:Arial; font-size:13.5pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Overview</span></h3><p style=\"margin:11.25pt 0pt 7.5pt; text-align:justify\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Since 1991, Collabera has been a leading provider of IT staffing solutions and services. We are known for providing the best staffing experience and taking great care of our clients and employees.</span><br /><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Our client-centric model provides focus, commitment and a dedicated team to help our clients achieve their business objectives. For consultants and employees, we offer an enriching experience that promotes career growth and lifelong learning.</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">&#xa0;</span></p><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Key Responsibilities</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span></p><ul type=\"disc\" style=\"margin:0pt; padding-left:0pt\"><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Utilize data science techniques combined with intuitive design, flexibility, and accuracy to develop first class preventive business controls</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Architecting massive reservoirs for big data and ensuring that our data pipeline provides clean, organized, and aggregated data that can be utilized by our alert framework</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Collaborating with the business, finance and operations to investigate and implement controls</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Improving and maintaining existing models</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Working with and connecting various datasets (Trade orders, executions, PnL, client value, sanctions, booking models, legal entity flows, eComms, expenses, ops losses, external/internal reference data)</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Developing labelling Model to identify root cause before publishing alerts</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Developing analytic dashboards to visualize and monitor control profiles</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Working with API's and modern/legacy databases</span></li></ul><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Qualifications</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span></p><ul type=\"disc\" style=\"margin:0pt; padding-left:0pt\"><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">5 years' experience working with large data sets within capital markets</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Undergraduate degree in a quantitative discipline such as computer science, mathematics, statistics, engineering or financial engineering is required</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Strong programming skills in modern python are required</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Solid experience working with pySpark and Hadoop ecosystem at scale is desired</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience working with real-time data pipelines (Kafka, Apache Beam) is preferred</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience and/or training in data science and statistical modelling</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience using pandas, Airflow, scikit-learn, spacy</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience working with Tableau or Qliksense/Qlikview is desired</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Proficient in SQL, NoSQL databases, and working with API’s</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Proficient working with nested JSON’s and XML’s</span></li></ul><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><br /><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Data Scientist,Hadoop,Pyspark,SQL</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><h4 style=\"font-size:12pt; line-height:115%; margin:0pt\"><span style=\"color:#182642; font-family:SimSun; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Recommended skills</span></h4><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Pyspark</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Data Pipeline</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Data Science</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Qlikview</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Real Time Data</span></p><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p></div></body></html>",
        "BuildVersion": "3.1.2022.06.21"
    }
}"
    },
    "jdWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 35,
            "Child": {
                "JobProfileTitle": 100,
                "JobProfile": 80,
                "JobProfileAlias": 60
            }
        },
        {
            "Parent": "Organization",
            "Weight": 5
        },
        {
            "Parent": "Skill",
            "Weight": 15,
            "Child": {
                "RequiredSkillSet": 100,
                "PreferredSkillSet": 80,
                "AliasSkillSet": 60,
                "JobProfileRelatedSkills": 80
            }
        },
        {
            "Parent": "Degree",
            "Weight": 5,
            "Child": {
                "QualificationsRequired": 100,
                "QualificationsPreferred": 80
            }
        },
        {
            "Parent": "ExperienceRequired",
            "Weight": 10,
            "Child": {
                "MinimumYearsExperience": 100,
                "MaximumYearsExperience": 100
            }
        },
        {
            "Parent": "JobLocationCity",
            "Weight": 10
        },
        {
            "Parent": "JobLocationState",
            "Weight": 5
        },
        {
            "Parent": "JobLocationCountry",
            "Weight": 5
        },
        {
            "Parent": "IndustryType",
            "Weight": 5
        },
        {
            "Parent": "Domains",
            "Weight": 5
        }
    ],
    "pageSize": 5,
    "pageStart": 0,
    "explainScore": true,
    "explainScoreType": "json",
    "explainWeightage": true
}

Sample Response of Match API with Dynamic JD Weightage

{
    "count": 241,
    "pageStart": 0,
    "pageSize": 5,
    "records": [
        {
            "id": "22",
            "score": 70.61,
            "CurrentEmployer": "WSP USA",
            "TotalExperienceInYear": 13.11,
            "CurrentJobProfile": "Data Scientist",
            "State": "NY",
            "FullName": "Pooneh Famili",
            "Country": "USA",
            "SubUserId": "sanjoli2",
            "City": "New York"
        },
        {
            "id": "20",
            "score": 59.87,
            "CurrentEmployer": "GrowSquares",
            "TotalExperienceInYear": 1.0,
            "CurrentJobProfile": "Data Scientist",
            "State": "NY",
            "FullName": "Jianhuan Zeng Joy",
            "Country": "USA",
            "SubUserId": "sanjoli1",
            "City": "New York City"
        },
        {
            "id": "24",
            "score": 57.34,
            "CurrentEmployer": "Optum",
            "TotalExperienceInYear": 8.0,
            "CurrentJobProfile": "Data Scientist",
            "FullName": "Nilay Bhatt",
            "SubUserId": "sanjoli2"
        },
        {
            "id": "21",
            "score": 55.48,
            "CurrentEmployer": "Marketing Science, eBay",
            "TotalExperienceInYear": 13.6,
            "CurrentJobProfile": "Data Scientist",
            "FullName": "Sachin Nagargoje",
            "SubUserId": "sanjoli2"
        },
        {
            "id": "23",
            "score": 55.03,
            "CurrentEmployer": "Damstra Technology",
            "TotalExperienceInYear": 5.7,
            "CurrentJobProfile": "DATA SCIENTIST",
            "State": "CO",
            "FullName": "TROY KAYNE",
            "Country": "USA",
            "SubUserId": "sanjoli2",
            "City": "Denver"
        }
    ],
    "explainScore": [
        {
            "id": "21",
            "SubUserId": "sanjoli2",
            "explaination": {
                "score": 55.48,
                "maxScore": 100.0,
                "Match": {
                    "score": 55.48,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 36.84,
                            "maxScore": 36.84,
                            "entity": "CurrentJobProfile",
                            "value": "data scientist"
                        },
                        {
                            "score": 10.53,
                            "maxScore": 10.53,
                            "entity": "TotalExperienceInYear",
                            "value": "[5.0 TO Infinity]"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 10.53,
                            "entity": "JobLocationCity",
                            "value": "New York"
                        },
                        {
                            "score": 5.26,
                            "maxScore": 5.26,
                            "entity": "EmployerCountry",
                            "value": "usa"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "QualificationsPreferred",
                            "value": "Undergraduate degree"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "Domains",
                            "value": "Research And Development"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "Organization",
                            "value": "Collabera"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "JobLocationState",
                            "value": "New York"
                        },
                        {
                            "score": 1.32,
                            "maxScore": 1.32,
                            "entity": "SkillHaveExp",
                            "value": "python"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Computer Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Programming Skills"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.69,
                            "entity": "RequiredSkillSet",
                            "value": "Mathematics"
                        },
                        {
                            "score": 0.68,
                            "maxScore": 0.68,
                            "entity": "SkillWithoutExp",
                            "value": "statistics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.41,
                            "entity": "RequiredSkillSet",
                            "value": "Financial Engineering"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.35,
                            "entity": "RequiredSkillSet",
                            "value": "Discipline"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.29,
                            "entity": "PreferredSkillSet",
                            "value": "Data Science"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillHaveExp",
                            "value": "hadoop"
                        },
                        {
                            "score": 0.2,
                            "maxScore": 0.27,
                            "entity": "SkillAlias",
                            "value": "nosql databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Airflow"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Apache Beam"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Big Data"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipelines"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop Ecosystem"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "SQL"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Tableau"
                        },
                        {
                            "score": 0.26,
                            "maxScore": 0.26,
                            "entity": "SkillWithoutExp",
                            "value": "data mining"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analytical Modeling"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analyse Business Objectives"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Establish Data Processes"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Develop Data Processing Applications"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Applied Machine Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Deep Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Forecasting"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Architecture"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Analytics Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Governance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Replication"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Availability"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Compliance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Intuition"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Amazon SageMaker"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Markov Chain"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Agile Data Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Real-Time Computing"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "API"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipeline"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "PySpark"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "XML"
                        },
                        {
                            "score": 0.12,
                            "maxScore": 0.12,
                            "entity": "SkillHaveExp",
                            "value": "pandas"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Data Sets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Datasets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Qliksense"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Kafka"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.11,
                            "entity": "PreferredSkillSet",
                            "value": "Massive"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.06,
                            "entity": "PreferredSkillSet",
                            "value": "Lifelong Learning"
                        }
                    ]
                }
            }
        },
        {
            "id": "22",
            "SubUserId": "sanjoli2",
            "explaination": {
                "score": 70.61,
                "maxScore": 100.0,
                "Match": {
                    "score": 70.61,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 36.84,
                            "maxScore": 36.84,
                            "entity": "CurrentJobProfile",
                            "value": "data scientist"
                        },
                        {
                            "score": 10.53,
                            "maxScore": 10.53,
                            "entity": "TotalExperienceInYear",
                            "value": "[5.0 TO Infinity]"
                        },
                        {
                            "score": 10.53,
                            "maxScore": 10.53,
                            "entity": "City",
                            "value": "new york"
                        },
                        {
                            "score": 5.26,
                            "maxScore": 5.26,
                            "entity": "CurrentEmployerState",
                            "value": "new york"
                        },
                        {
                            "score": 5.26,
                            "maxScore": 5.26,
                            "entity": "Country",
                            "value": "usa"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "QualificationsPreferred",
                            "value": "Undergraduate degree"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "Domains",
                            "value": "Research And Development"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "Organization",
                            "value": "Collabera"
                        },
                        {
                            "score": 1.32,
                            "maxScore": 1.32,
                            "entity": "SkillHaveExp",
                            "value": "python"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Computer Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Programming Skills"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.69,
                            "entity": "RequiredSkillSet",
                            "value": "Mathematics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.68,
                            "entity": "RequiredSkillSet",
                            "value": "Statistics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.41,
                            "entity": "RequiredSkillSet",
                            "value": "Financial Engineering"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.35,
                            "entity": "RequiredSkillSet",
                            "value": "Discipline"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.29,
                            "entity": "PreferredSkillSet",
                            "value": "Data Science"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillHaveExp",
                            "value": "tableau"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Airflow"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Apache Beam"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Big Data"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipelines"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop Ecosystem"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "NoSQL Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "SQL"
                        },
                        {
                            "score": 0.26,
                            "maxScore": 0.26,
                            "entity": "SkillHaveExp",
                            "value": "forecasting"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analytical Modeling"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analyse Business Objectives"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Establish Data Processes"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Develop Data Processing Applications"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Applied Machine Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Deep Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Architecture"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Analytics Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Governance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Replication"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Availability"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Compliance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Intuition"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Mining"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Amazon SageMaker"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Markov Chain"
                        },
                        {
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                        {
                            "score": 0.0,
                            "maxScore": 0.68,
                            "entity": "RequiredSkillSet",
                            "value": "Statistics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.41,
                            "entity": "RequiredSkillSet",
                            "value": "Financial Engineering"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.35,
                            "entity": "RequiredSkillSet",
                            "value": "Discipline"
                        },
                        {
                            "score": 0.29,
                            "maxScore": 0.29,
                            "entity": "SkillHaveExp",
                            "value": "data science"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillHaveExp",
                            "value": "airflow"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillHaveExp",
                            "value": "big data"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillWithoutExp",
                            "value": "hadoop"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillWithoutExp",
                            "value": "sql"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Apache Beam"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipelines"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop Ecosystem"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "NoSQL Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Tableau"
                        },
                        {
                            "score": 0.26,
                            "maxScore": 0.26,
                            "entity": "SkillWithoutExp",
                            "value": "data architecture"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analytical Modeling"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analyse Business Objectives"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Establish Data Processes"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Develop Data Processing Applications"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Applied Machine Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Deep Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Forecasting"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Analytics Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Governance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Replication"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Availability"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Compliance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Intuition"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Mining"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Amazon SageMaker"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Markov Chain"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Agile Data Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Real-Time Computing"
                        },
                        {
                            "score": 0.22,
                            "maxScore": 0.22,
                            "entity": "SkillHaveExp",
                            "value": "api"
                        },
                        {
                            "score": 0.22,
                            "maxScore": 0.22,
                            "entity": "SkillHaveExp",
                            "value": "pyspark"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipeline"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "XML"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Data Sets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Datasets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Qliksense"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Kafka"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Pandas"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.11,
                            "entity": "PreferredSkillSet",
                            "value": "Massive"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.06,
                            "entity": "PreferredSkillSet",
                            "value": "Lifelong Learning"
                        }
                    ]
                }
            }
        }
    ],
    "jdWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 35.0,
            "Child": {
                "JobProfileTitle": 100.0,
                "JobProfileAlias": 60.0,
                "JobProfile": 80.0
            }
        },
        {
            "Parent": "Organization",
            "Weight": 5.0
        },
        {
            "Parent": "Skill",
            "Weight": 15.0,
            "Child": {
                "PreferredSkillSet": 80.0,
                "AliasSkillSet": 60.0,
                "JobProfileRelatedSkills": 80.0,
                "RequiredSkillSet": 100.0
            }
        },
        {
            "Parent": "Degree",
            "Weight": 5.0,
            "Child": {
                "QualificationsPreferred": 80.0,
                "QualificationsRequired": 100.0
            }
        },
        {
            "Parent": "ExperienceRequired",
            "Weight": 10.0,
            "Child": {
                "MaximumYearsExperience": 100.0,
                "MinimumYearsExperience": 100.0
            }
        },
        {
            "Parent": "JobLocationCity",
            "Weight": 10.0
        },
        {
            "Parent": "JobLocationState",
            "Weight": 5.0
        },
        {
            "Parent": "JobLocationCountry",
            "Weight": 5.0
        },
        {
            "Parent": "IndustryType",
            "Weight": 5.0
        },
        {
            "Parent": "Domains",
            "Weight": 5.0
        }
    ]
}

Dynamic Weightage in Match with ID

Match with ID find Resumes/Job descriptions matching your input documents ID's, refer Match with ID for more details.

Now, you can add dynamic Resume/JD weightage (resumeWeightage or jdWeightage parameter) for each Match with ID API request. See below sample request and response for Match with ID API request with dynamic JD weightage.

Sample Request of Match with ID API with Dynamic JD Weightage

Note:

Below sample request contains dynamic JD weightage (jdWeightage parameter), similarly you can pass dynamic resume weightage (resumeWeightage parameter) as necessary.
For the Match with ID request, dynamic weightage parameter (resumeWeightage or jdWeightage) is based on the docType entity. If docType is Resume, then you must use resumeWeightage, and if docType is JD, then jdWeightage must be used.
You can change the weightage for different entities based on your requirement, and the API returns the response based on the weightage for different entities passed in the API request.
When you change weightage for one entity, for example, JobProfile weightage is changed to 55 from 35, then the weightage for different entities must be changed as well such that the total wieghtage of all entities in the API request is less than or equal to 100.
Refer above notes for more details.

{
    "index": {
        "indexType": "Resume",
        "indexKey": "Use Your Indexkey"
    },
    "match": {
        "matchId": [
            "20"
        ],
        "docType": "JD",
        "jsonData": "{
    "JDParsedData": {
        "FileName": "4430_Data Scientist 905.docx",
        "JDLanguage": {
            "Language": "English",
            "LanguageCode": "en"
        },
        "ParsingDate": "08/07/2022 12:11:46.916",
        "JobProfile": {
            "Title": "Data Scientist",
            "Alias": "Applied Data Scientist, Data -Scientist, Data analytics scientist, Data Mining Scientist, Data Research Scientist, Data Science Developer, Data Science Specialist, Data scientist - data and analytics, Data-Scientist, enterprise data scientist, It Works Data Scientist, network data scientist, Research Data Scientist, Specialist - Data Science, Specialist Data Scientist, strategic data scientist, trainee data scientist",
            "FormattedName": "Data Scientist",
            "RelatedSkills": [
                {
                    "Skill": "Analytical Modeling",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Analyse Business Objectives",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Establish Data Processes",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Develop Data Processing Applications",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Applied Machine Learning",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Deep Learning",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Forecasting",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Soft"
                },
                {
                    "Skill": "Data Science",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Architecture",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Exploratory Research",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Exponential Smoothing",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Analytics Framework",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Data Governance",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Sharing",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Replication",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Availability",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Compliance",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Intuition",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Edge Analytics",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Mining",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Amazon SageMaker",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "BigQuery",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "Markov Chain",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Agile Data Science",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Real-Time Computing",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                }
            ],
            "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Scientist"
        },
        "Organization": "Collabera",
        "StaffingAgency": "",
        "AboutOrganization": "",
        "JobLocation": {
            "Location": "New York , NY",
            "City": "New York",
            "State": "New York",
            "Country": "USA",
            "IsoCountryCode": "US",
            "ZipCode": ""
        },
        "JobCode": "",
        "JobType": "",
        "JobShift": "",
        "IsManagementJob": "false",
        "IndustryType": "",
        "ExcecutiveType": "Information",
        "PostedOnDate": "",
        "ClosingDate": "",
        "ExperienceRequired": {
            "MinimumYearsExperience": "5 Years",
            "MaximumYearsExperience": ""
        },
        "ContractDuration": "",
        "HasContract": "false",
        "SalaryOffered": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "BillRate": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "NoticePeriod": "",
        "NoOfOpenings": "",
        "Relocation": "",
        "Languages": "",
        "PreferredDemographic": {
            "Nationality": "",
            "Visa": "",
            "AgeLimit": "",
            "Others": ""
        },
        "Domains": [
            "Research And Development"
        ],
        "Qualifications": {
            "Preferred": [
                "Undergraduate degree"
            ],
            "Required": []
        },
        "Certifications": {
            "Preferred": [],
            "Required": []
        },
        "Skills": {
            "Preferred": [
                {
                    "Skill": "API",
                    "Type": "OperationalSkill",
                    "Alias": "API, api automation framework, api automation frameworks, api automation platforms, API Framework, API Frameworks, apis development, Application Processing Interfaces, Application program interface, Application Programming Interface Development, Application Programming Interface Integration, application programming interfaces, Application-Programming Interface, Application-Programming-Interface, Framework Api, Frameworks Api, interface applications, Programmatic Interfaces, programming interface, Web Api Framework, Web Api Frameworks",
                    "FormattedName": "Application Programming Interface",
                    "Ontology": "Information>Software Developers and Programmers>Application Programming Interface"
                },
                {
                    "Skill": "Airflow",
                    "Type": "OperationalSkill",
                    "Alias": "Airflow, Airflow 1.10, airflow 2.0, Apache Airflow 1.10, Apache airflow 2.0, Apache Airflow 2.0.2, Apache Airflow soft, Apache Airflow Software, Apache Airflow tool, Apache Airflow v1.10.12, Apache Airflow v2.0.2",
                    "FormattedName": "Apache Airflow",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Airflow"
                },
                {
                    "Skill": "Apache Beam",
                    "Type": "OperationalSkill",
                    "Alias": "Apache Beam sdk, Apache Beam soft, Apache Beam software, Apache Beam tool, Beam SDK 2.35.0",
                    "FormattedName": "Apache Beam",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Beam"
                },
                {
                    "Skill": "Architecting",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Big Data",
                    "Type": "OperationalSkill",
                    "Alias": "Big Data Cloud, Big Data Databases, Big Data Operations, Big Data Production, Big Data Programming, Big Data Solutions, Big Data Technologies, Big Data Technology, Big Data Technology Operations, Big-Data, BigData, Bigdata Operations, Manage A Huge Amount, Massive Big Data, Massive Data Sets, Massive Datasets, Massive-Data-Sets, Massive-Datasets",
                    "FormattedName": "Big Data",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Big Data"
                },
                {
                    "Skill": "Capital Markets",
                    "Type": "OperationalSkill",
                    "Alias": "Capital Market, Capital Market Finance, Capital Market Trading, Capital Market Trading System, Capital Market Trading Systems, capital markets, capital markets processes, Capital-Market, Equity Capital Markets, Equity Market, Finance Capital Market, share market, stock market operations, Stock Markets",
                    "FormattedName": "Stock Market",
                    "Ontology": "Wholesale Trade>Securities, Commodities, and Financial Services Sales Agents>Stock Market"
                },
                {
                    "Skill": "Collaborating",
                    "Type": "SoftSkill",
                    "Alias": "Ability to Collaborate Effectively, collaborating, Collaboration Skills, collaborative, collaborative skills",
                    "FormattedName": "Collaboration",
                    "Ontology": "Management of Companies and Enterprises>Chief Executives>Collaboration"
                },
                {
                    "Skill": "Commitment",
                    "Type": "SoftSkill",
                    "Alias": "Commitments, committed",
                    "FormattedName": "Commitment",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Commitment"
                },
                {
                    "Skill": "Data Pipeline",
                    "Type": "OperationalSkill",
                    "Alias": "data pipeline, pipelines",
                    "FormattedName": "Pipeline",
                    "Ontology": "Information>Software Developers and Programmers>Pipeline"
                },
                {
                    "Skill": "Data Pipelines",
                    "Type": "OperationalSkill",
                    "Alias": "analytics pipeline management, big data pipeline design, Big Data Pipelines, Big-Data-Pipelines, Bigdata Pipelines, Building Data Pipelines, Building-Data Pipelines, Data Acquisition Pipelines, Data Analysis Pipelines, Data-Pipelines, Pipeline Data, Pipeline-Data",
                    "FormattedName": "Data Pipelines",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Pipelines"
                },
                {
                    "Skill": "Data Science",
                    "Type": "OperationalSkill",
                    "Alias": "Data Science and Analysis, Data Science And Analytics, Data Science Operations, Data-science, Statistical Data Science",
                    "FormattedName": "Data Science",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Science"
                },
                {
                    "Skill": "Data Sets",
                    "Type": "OperationalSkill",
                    "Alias": "data sets, Data-Set, Datasets",
                    "FormattedName": "Data Set",
                    "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Set"
                },
                {
                    "Skill": "Databases",
                    "Type": "OperationalSkill",
                    "Alias": "basic database management, Data Base Management, Data Base mgmt, database mgmt, Database Mgmt., Database-Management, databases, Databases Management, DB Management, DB mgmt, Management Database, Management Databases, Management of Database, Management-Database, Managing a database, Managing Database, managing database operation, managing database operations, Managing Database Software Products, managing databases, Managing Development Databases",
                    "FormattedName": "Database Management",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Database Management"
                },
                {
                    "Skill": "Datasets",
                    "Type": "OperationalSkill",
                    "Alias": "data sets, Data-Set, Datasets",
                    "FormattedName": "Data Set",
                    "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Set"
                },
                {
                    "Skill": "Dedicated",
                    "Type": "SoftSkill",
                    "Alias": "dedicated, Dedicated To Work, dedicated towards work, dedicated worker, dedication to work",
                    "FormattedName": "Dedication",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Dedication"
                },
                {
                    "Skill": "Developing",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Finance",
                    "Type": "OperationalSkill",
                    "Alias": "Financing, Financings",
                    "FormattedName": "Finance",
                    "Ontology": "Finance and Insurance>Financial Specialists>Finance"
                },
                {
                    "Skill": "Flexibility",
                    "Type": "SoftSkill",
                    "Alias": "elasticity, Flexibility, Resilience",
                    "FormattedName": "Resiliency",
                    "Ontology": "Arts, Entertainment, and Recreation>Psychologists>Resiliency"
                },
                {
                    "Skill": "Framework",
                    "Type": "OperationalSkill",
                    "Alias": "Application Programming Framework, Application Programming Frameworks, Application Software Framework Development, computer software framework, Computing Framework, Computing Frameworks, Frame Work, frame works, Framework, Framework Development, Framework Software, frameworks, It Systems Framework, Programming Frame Work, Programming Framework, Programming Frameworks, Soft. Framework, Software Design Framework, Software Frameworks, Software Services Frame work, Software Services Framework, Software-Framework",
                    "FormattedName": "Software Framework",
                    "Ontology": "Information>Software Developers and Programmers>Software Framework"
                },
                {
                    "Skill": "Hadoop",
                    "Type": "OperationalSkill",
                    "Alias": "Analytics Hadoop, Apache Frame Work, Apache Hadoop 2.4.1, Apache Hadoop 2.7, Apache Hadoop 2.7.3, Apache Hadoop 2.7.5, Apache Hadoop 2.9.2, Apache Hadoop 3.3.1, Apache Hadoop 7.6.2, Apache Hadoop Bigdata, Apache Hadoop Cluster, Apache Hadoop Framework, Apache Hadoop Open Source, Apache Hadoop Soft, Apache Hadoop Soft., Apache Hadoop software, Apache Hadoop version 1.0, Apache Hadoop version 3.0, Apache Hadoop version 7.6.2, Big Data Apache, Big Data Framework Hadoop, Big Data Hadoop, Big Data Hadoop Framework, Bigdata Hadoop, Framework Hadoop, Hadoop, Hadoop 2.7, Hadoop 2.7.5, Hadoop 3.1.0, Hadoop 3.3.1, Hadoop analytics, Hadoop Big Data, Hadoop Big Data Analytics Framework, Hadoop Big Data Frame Work, Hadoop Big Data Framework, Hadoop Big Data Technology, Hadoop Bigdata, Hadoop Bigdata Frame Work, Hadoop Frame Work, Hadoop Framework, Hadoop Framework Development, Hadoop Ibm, Hadoop Infrastructure, Hadoop Open Source, Hadoop Version 3.0, Hadoop2, Open Source Apache Hadoop",
                    "FormattedName": "Apache Hadoop",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Hadoop"
                },
                {
                    "Skill": "Hadoop Ecosystem",
                    "Type": "OperationalSkill",
                    "Alias": "Hadoop Ecosystem Design, Hadoop Ecosystem platform, Hadoop Ecosystem software, Mapreduce Ecosystem",
                    "FormattedName": "Hadoop Ecosystem",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Hadoop Ecosystem"
                },
                {
                    "Skill": "Kafka",
                    "Type": "OperationalSkill",
                    "Alias": "Apache Kafka 1.1.1, Apache Kafka 2.2.1, Apache Kafka 2.3.1, Apache Kafka 2.4.1, Apache Kafka 2.5.1, Apache Kafka 2.6.0, Apache Kafka 2.6.1, Apache Kafka 2.6.2, Apache Kafka 2.6.3, Apache Kafka 2.7.0, Apache Kafka 2.7.1, Apache Kafka 2.7.2, Apache Kafka 2.8, Apache Kafka 2.8.0, Apache Kafka 2.8.1, Apache Kafka 3.0, Apache Kafka 3.1.0, Apache Kafka platform, Apache Kafka Soft., Apache Kafka Software, Apache Kafka version 2.8.0, Apache Kafka version 2.8.1, kafka, Kafka Clusters, Kafka Framework",
                    "FormattedName": "Apache Kafka",
                    "Ontology": "Information>Software Developers, Applications>Apache Kafka"
                },
                {
                    "Skill": "Lifelong Learning",
                    "Type": "OperationalSkill",
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        "Responsibilities": "Utilize data science techniques combined with intuitive design, flexibility, and accuracy to develop first class preventive business controls\nArchitecting massive reservoirs for big data and ensuring that our data pipeline provides clean, organized, and aggregated data that can be utilized by our alert framework\nCollaborating with the business, finance and operations to investigate and implement controls\nImproving and maintaining existing models\nWorking with and connecting various datasets ( Trade orders, executions, PnL, client value, sanctions, booking models, legal entity flows, eComms, expenses, ops losses, external/internal reference data )\nDeveloping labelling Model to identify root cause before publishing alerts\nDeveloping analytic dashboards to visualize and monitor control profiles\nWorking with API's and modern/legacy databases",
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        "JobDescription": "Data Scientist\nCollabera\nNew York , NY \n\nOverview\n  1991 To Till , Collabera has been a leading provider of IT staffing solutions and services. We are known for providing the best staffing experience and taking great care of our clients and employees.\n\nOur client-centric model provides focus , commitment and a dedicated team to help our clients achieve their business objectives. For consultants and employees , we offer an enriching experience that promotes career growth and lifelong learning.\n\nKey Responsibilities\n\nUtilize data science techniques combined with intuitive design , flexibility , and accuracy to develop first class preventive business controls\nArchitecting massive reservoirs for big data and ensuring that our data pipeline provides clean , organized , and aggregated data that can be utilized by our alert framework\nCollaborating with the business , finance and operations to investigate and implement controls\nImproving and maintaining existing models\nWorking with and connecting various datasets ( Trade orders , executions , PnL , client value , sanctions , booking models , legal entity flows , eComms , expenses , ops losses , external/internal reference data ) \nDeveloping labelling Model to identify root cause before publishing alerts\nDeveloping analytic dashboards to visualize and monitor control profiles\nWorking with API's and modern/legacy databases\n\n \nQualifications\n\n5 years' experience working with large data sets within capital markets\nUndergraduate degree in a quantitative discipline such as computer science , mathematics , statistics , engineering or financial engineering is required\nStrong programming skills in modern python are required\nSolid experience working with pySpark and Hadoop ecosystem at scale is desired\nExperience working with real-time data pipelines ( Kafka , Apache Beam ) is preferred\nExperience and/or training in data science and statistical modelling\nExperience using pandas , Airflow , scikit-learn , spacy\nExperience working with Tableau or Qliksense/Qlikview is desired\nProficient in SQL , NoSQL databases , and working with API's\nProficient working with nested JSON's and XML's\n\nData Scientist , Hadoop , Pyspark , SQL\n \nRecommended skills\nPyspark\n \nData Pipeline\n \nData Science\n \nQlikview\n \nReal Time Data\n",
        "JDHtmlData": "<html><head><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" /><meta http-equiv=\"Content-Style-Type\" content=\"text/css\" /><meta name=\"generator\" content=\"Aspose.Words for Java 14.4.1.0\" /><title></title></head><body><div><h1 style=\"line-height:24pt; margin:0pt\"><span style=\"color:#182642; font-family:Arial; font-size:24pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Data Scientist</span></h1><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">Collabera</span></p><h3 style=\"line-height:12pt; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">New York, NY</span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">&#xa0;</span></h3><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p><h3 style=\"line-height:13.5pt; margin:0pt\"><span style=\"color:#182642; font-family:Arial; font-size:13.5pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Overview</span></h3><p style=\"margin:11.25pt 0pt 7.5pt; text-align:justify\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Since 1991, Collabera has been a leading provider of IT staffing solutions and services. We are known for providing the best staffing experience and taking great care of our clients and employees.</span><br /><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Our client-centric model provides focus, commitment and a dedicated team to help our clients achieve their business objectives. For consultants and employees, we offer an enriching experience that promotes career growth and lifelong learning.</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">&#xa0;</span></p><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Key Responsibilities</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span></p><ul type=\"disc\" style=\"margin:0pt; padding-left:0pt\"><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Utilize data science techniques combined with intuitive design, flexibility, and accuracy to develop first class preventive business controls</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Architecting massive reservoirs for big data and ensuring that our data pipeline provides clean, organized, and aggregated data that can be utilized by our alert framework</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Collaborating with the business, finance and operations to investigate and implement controls</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Improving and maintaining existing models</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Working with and connecting various datasets (Trade orders, executions, PnL, client value, sanctions, booking models, legal entity flows, eComms, expenses, ops losses, external/internal reference data)</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Developing labelling Model to identify root cause before publishing alerts</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Developing analytic dashboards to visualize and monitor control profiles</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Working with API's and modern/legacy databases</span></li></ul><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Qualifications</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span></p><ul type=\"disc\" style=\"margin:0pt; padding-left:0pt\"><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">5 years' experience working with large data sets within capital markets</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; 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</span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience and/or training in data science and statistical modelling</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience using pandas, Airflow, scikit-learn, spacy</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience working with Tableau or Qliksense/Qlikview is desired</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Proficient in SQL, NoSQL databases, and working with API’s</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Proficient working with nested JSON’s and XML’s</span></li></ul><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><br /><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Data Scientist,Hadoop,Pyspark,SQL</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><h4 style=\"font-size:12pt; line-height:115%; margin:0pt\"><span style=\"color:#182642; font-family:SimSun; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Recommended skills</span></h4><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; 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font-style:normal; text-transform:none\">Data Science</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Qlikview</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Real Time Data</span></p><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p></div></body></html>",
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    "explainScoreType": "json",
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}

Sample Response of Match with ID with Dynamic JD Weightage

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            "Parent": "JobLocationCountry",
            "Weight": 5.0
        },
        {
            "Parent": "IndustryType",
            "Weight": 5.0
        },
        {
            "Parent": "Domains",
            "Weight": 5.0
        }
    ]
}

Dynamic Weightage in Match with Multiple Sub-User Ids

Match with Multiple Sub-User Ids finds Resumes/Job descriptions that matches your input documents and provided sub user ids, refer Match with Multiple Sub-User Ids for more details.

Now, you can add dynamic Resume/JD weightage (resumeWeightage or jdWeightage parameter) for each Match with Multiple Sub-User Ids API request. See below sample request and response for Match with Multiple Sub-User Ids API request with dynamic JD weightage.

Sample Request of Match with Multiple Sub-User Ids API with Dynamic JD Weightage

Note:

Below sample request contains dynamic JD weightage (jdWeightage parameter), similarly you can pass dynamic resume weightage (resumeWeightage parameter) as necessary.
For the Match with Multiple Sub-User Ids request, dynamic weightage parameter (resumeWeightage or jdWeightage) is based on the docType entity. If docType is Resume, then you must use resumeWeightage, and if docType is JD, then jdWeightage must be used.
You can change the weightage for different entities based on your requirement, and the API returns the response based on the weightage for different entities passed in the API request.
When you change weightage for one entity, for example, JobProfile weightage is changed to 55 from 35, then the weightage for different entities must be changed as well such that the total wieghtage of all entities in the API request is less than or equal to 100.
Refer above notes for more details.

{
    "index": {
        "indexType": "Resume",
        "indexKey": "Use Your Indexkey",
        "subUserId": [
            "SubUser ID 1",
            "SubUser ID2 "
        ]
    },
    "match": {
        "docType": "JD",
        "jsonData": "{
    "JDParsedData": {
        "FileName": "4430_Data Scientist 905.docx",
        "JDLanguage": {
            "Language": "English",
            "LanguageCode": "en"
        },
        "ParsingDate": "08/07/2022 12:11:46.916",
        "JobProfile": {
            "Title": "Data Scientist",
            "Alias": "Applied Data Scientist, Data -Scientist, Data analytics scientist, Data Mining Scientist, Data Research Scientist, Data Science Developer, Data Science Specialist, Data scientist - data and analytics, Data-Scientist, enterprise data scientist, It Works Data Scientist, network data scientist, Research Data Scientist, Specialist - Data Science, Specialist Data Scientist, strategic data scientist, trainee data scientist",
            "FormattedName": "Data Scientist",
            "RelatedSkills": [
                {
                    "Skill": "Analytical Modeling",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Analyse Business Objectives",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Establish Data Processes",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Develop Data Processing Applications",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge/Skills/Abilities"
                },
                {
                    "Skill": "Applied Machine Learning",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Deep Learning",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Forecasting",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Soft"
                },
                {
                    "Skill": "Data Science",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Architecture",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Exploratory Research",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Exponential Smoothing",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Analytics Framework",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Data Governance",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Sharing",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Replication",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Availability",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Compliance",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Intuition",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Edge Analytics",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Data Mining",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Amazon SageMaker",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "BigQuery",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "Markov Chain",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Agile Data Science",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Real-Time Computing",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Technology"
                }
            ],
            "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Scientist"
        },
        "Organization": "Collabera",
        "StaffingAgency": "",
        "AboutOrganization": "",
        "JobLocation": {
            "Location": "New York , NY",
            "City": "New York",
            "State": "New York",
            "Country": "USA",
            "IsoCountryCode": "US",
            "ZipCode": ""
        },
        "JobCode": "",
        "JobType": "",
        "JobShift": "",
        "IsManagementJob": "false",
        "IndustryType": "",
        "ExcecutiveType": "Information",
        "PostedOnDate": "",
        "ClosingDate": "",
        "ExperienceRequired": {
            "MinimumYearsExperience": "5 Years",
            "MaximumYearsExperience": ""
        },
        "ContractDuration": "",
        "HasContract": "false",
        "SalaryOffered": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "BillRate": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "NoticePeriod": "",
        "NoOfOpenings": "",
        "Relocation": "",
        "Languages": "",
        "PreferredDemographic": {
            "Nationality": "",
            "Visa": "",
            "AgeLimit": "",
            "Others": ""
        },
        "Domains": [
            "Research And Development"
        ],
        "Qualifications": {
            "Preferred": [
                "Undergraduate degree"
            ],
            "Required": []
        },
        "Certifications": {
            "Preferred": [],
            "Required": []
        },
        "Skills": {
            "Preferred": [
                {
                    "Skill": "API",
                    "Type": "OperationalSkill",
                    "Alias": "API, api automation framework, api automation frameworks, api automation platforms, API Framework, API Frameworks, apis development, Application Processing Interfaces, Application program interface, Application Programming Interface Development, Application Programming Interface Integration, application programming interfaces, Application-Programming Interface, Application-Programming-Interface, Framework Api, Frameworks Api, interface applications, Programmatic Interfaces, programming interface, Web Api Framework, Web Api Frameworks",
                    "FormattedName": "Application Programming Interface",
                    "Ontology": "Information>Software Developers and Programmers>Application Programming Interface"
                },
                {
                    "Skill": "Airflow",
                    "Type": "OperationalSkill",
                    "Alias": "Airflow, Airflow 1.10, airflow 2.0, Apache Airflow 1.10, Apache airflow 2.0, Apache Airflow 2.0.2, Apache Airflow soft, Apache Airflow Software, Apache Airflow tool, Apache Airflow v1.10.12, Apache Airflow v2.0.2",
                    "FormattedName": "Apache Airflow",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Airflow"
                },
                {
                    "Skill": "Apache Beam",
                    "Type": "OperationalSkill",
                    "Alias": "Apache Beam sdk, Apache Beam soft, Apache Beam software, Apache Beam tool, Beam SDK 2.35.0",
                    "FormattedName": "Apache Beam",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Beam"
                },
                {
                    "Skill": "Architecting",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Big Data",
                    "Type": "OperationalSkill",
                    "Alias": "Big Data Cloud, Big Data Databases, Big Data Operations, Big Data Production, Big Data Programming, Big Data Solutions, Big Data Technologies, Big Data Technology, Big Data Technology Operations, Big-Data, BigData, Bigdata Operations, Manage A Huge Amount, Massive Big Data, Massive Data Sets, Massive Datasets, Massive-Data-Sets, Massive-Datasets",
                    "FormattedName": "Big Data",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Big Data"
                },
                {
                    "Skill": "Capital Markets",
                    "Type": "OperationalSkill",
                    "Alias": "Capital Market, Capital Market Finance, Capital Market Trading, Capital Market Trading System, Capital Market Trading Systems, capital markets, capital markets processes, Capital-Market, Equity Capital Markets, Equity Market, Finance Capital Market, share market, stock market operations, Stock Markets",
                    "FormattedName": "Stock Market",
                    "Ontology": "Wholesale Trade>Securities, Commodities, and Financial Services Sales Agents>Stock Market"
                },
                {
                    "Skill": "Collaborating",
                    "Type": "SoftSkill",
                    "Alias": "Ability to Collaborate Effectively, collaborating, Collaboration Skills, collaborative, collaborative skills",
                    "FormattedName": "Collaboration",
                    "Ontology": "Management of Companies and Enterprises>Chief Executives>Collaboration"
                },
                {
                    "Skill": "Commitment",
                    "Type": "SoftSkill",
                    "Alias": "Commitments, committed",
                    "FormattedName": "Commitment",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Commitment"
                },
                {
                    "Skill": "Data Pipeline",
                    "Type": "OperationalSkill",
                    "Alias": "data pipeline, pipelines",
                    "FormattedName": "Pipeline",
                    "Ontology": "Information>Software Developers and Programmers>Pipeline"
                },
                {
                    "Skill": "Data Pipelines",
                    "Type": "OperationalSkill",
                    "Alias": "analytics pipeline management, big data pipeline design, Big Data Pipelines, Big-Data-Pipelines, Bigdata Pipelines, Building Data Pipelines, Building-Data Pipelines, Data Acquisition Pipelines, Data Analysis Pipelines, Data-Pipelines, Pipeline Data, Pipeline-Data",
                    "FormattedName": "Data Pipelines",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Pipelines"
                },
                {
                    "Skill": "Data Science",
                    "Type": "OperationalSkill",
                    "Alias": "Data Science and Analysis, Data Science And Analytics, Data Science Operations, Data-science, Statistical Data Science",
                    "FormattedName": "Data Science",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Science"
                },
                {
                    "Skill": "Data Sets",
                    "Type": "OperationalSkill",
                    "Alias": "data sets, Data-Set, Datasets",
                    "FormattedName": "Data Set",
                    "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Set"
                },
                {
                    "Skill": "Databases",
                    "Type": "OperationalSkill",
                    "Alias": "basic database management, Data Base Management, Data Base mgmt, database mgmt, Database Mgmt., Database-Management, databases, Databases Management, DB Management, DB mgmt, Management Database, Management Databases, Management of Database, Management-Database, Managing a database, Managing Database, managing database operation, managing database operations, Managing Database Software Products, managing databases, Managing Development Databases",
                    "FormattedName": "Database Management",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Database Management"
                },
                {
                    "Skill": "Datasets",
                    "Type": "OperationalSkill",
                    "Alias": "data sets, Data-Set, Datasets",
                    "FormattedName": "Data Set",
                    "Ontology": "Information>Data Processing, Hosting, and Related Services>Data Set"
                },
                {
                    "Skill": "Dedicated",
                    "Type": "SoftSkill",
                    "Alias": "dedicated, Dedicated To Work, dedicated towards work, dedicated worker, dedication to work",
                    "FormattedName": "Dedication",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Dedication"
                },
                {
                    "Skill": "Developing",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Finance",
                    "Type": "OperationalSkill",
                    "Alias": "Financing, Financings",
                    "FormattedName": "Finance",
                    "Ontology": "Finance and Insurance>Financial Specialists>Finance"
                },
                {
                    "Skill": "Flexibility",
                    "Type": "SoftSkill",
                    "Alias": "elasticity, Flexibility, Resilience",
                    "FormattedName": "Resiliency",
                    "Ontology": "Arts, Entertainment, and Recreation>Psychologists>Resiliency"
                },
                {
                    "Skill": "Framework",
                    "Type": "OperationalSkill",
                    "Alias": "Application Programming Framework, Application Programming Frameworks, Application Software Framework Development, computer software framework, Computing Framework, Computing Frameworks, Frame Work, frame works, Framework, Framework Development, Framework Software, frameworks, It Systems Framework, Programming Frame Work, Programming Framework, Programming Frameworks, Soft. Framework, Software Design Framework, Software Frameworks, Software Services Frame work, Software Services Framework, Software-Framework",
                    "FormattedName": "Software Framework",
                    "Ontology": "Information>Software Developers and Programmers>Software Framework"
                },
                {
                    "Skill": "Hadoop",
                    "Type": "OperationalSkill",
                    "Alias": "Analytics Hadoop, Apache Frame Work, Apache Hadoop 2.4.1, Apache Hadoop 2.7, Apache Hadoop 2.7.3, Apache Hadoop 2.7.5, Apache Hadoop 2.9.2, Apache Hadoop 3.3.1, Apache Hadoop 7.6.2, Apache Hadoop Bigdata, Apache Hadoop Cluster, Apache Hadoop Framework, Apache Hadoop Open Source, Apache Hadoop Soft, Apache Hadoop Soft., Apache Hadoop software, Apache Hadoop version 1.0, Apache Hadoop version 3.0, Apache Hadoop version 7.6.2, Big Data Apache, Big Data Framework Hadoop, Big Data Hadoop, Big Data Hadoop Framework, Bigdata Hadoop, Framework Hadoop, Hadoop, Hadoop 2.7, Hadoop 2.7.5, Hadoop 3.1.0, Hadoop 3.3.1, Hadoop analytics, Hadoop Big Data, Hadoop Big Data Analytics Framework, Hadoop Big Data Frame Work, Hadoop Big Data Framework, Hadoop Big Data Technology, Hadoop Bigdata, Hadoop Bigdata Frame Work, Hadoop Frame Work, Hadoop Framework, Hadoop Framework Development, Hadoop Ibm, Hadoop Infrastructure, Hadoop Open Source, Hadoop Version 3.0, Hadoop2, Open Source Apache Hadoop",
                    "FormattedName": "Apache Hadoop",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Apache Hadoop"
                },
                {
                    "Skill": "Hadoop Ecosystem",
                    "Type": "OperationalSkill",
                    "Alias": "Hadoop Ecosystem Design, Hadoop Ecosystem platform, Hadoop Ecosystem software, Mapreduce Ecosystem",
                    "FormattedName": "Hadoop Ecosystem",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Hadoop Ecosystem"
                },
                {
                    "Skill": "Kafka",
                    "Type": "OperationalSkill",
                    "Alias": "Apache Kafka 1.1.1, Apache Kafka 2.2.1, Apache Kafka 2.3.1, Apache Kafka 2.4.1, Apache Kafka 2.5.1, Apache Kafka 2.6.0, Apache Kafka 2.6.1, Apache Kafka 2.6.2, Apache Kafka 2.6.3, Apache Kafka 2.7.0, Apache Kafka 2.7.1, Apache Kafka 2.7.2, Apache Kafka 2.8, Apache Kafka 2.8.0, Apache Kafka 2.8.1, Apache Kafka 3.0, Apache Kafka 3.1.0, Apache Kafka platform, Apache Kafka Soft., Apache Kafka Software, Apache Kafka version 2.8.0, Apache Kafka version 2.8.1, kafka, Kafka Clusters, Kafka Framework",
                    "FormattedName": "Apache Kafka",
                    "Ontology": "Information>Software Developers, Applications>Apache Kafka"
                },
                {
                    "Skill": "Lifelong Learning",
                    "Type": "OperationalSkill",
                    "Alias": "Continual Learning, Continuous Learning, Continuous-Learning, Lifelong-learning, Ongoing Learning, Ongoing Learning About New Systems And Materials",
                    "FormattedName": "Lifelong Learning",
                    "Ontology": "Finance and Insurance>Training and Development Specialists>Lifelong Learning"
                },
                {
                    "Skill": "Massive",
                    "Type": "OperationalSkill",
                    "Alias": "Massive, NI Massive Soft, NI Massive Software",
                    "FormattedName": "NI Massive",
                    "Ontology": "Information>Music Publishers>NI Massive"
                },
                {
                    "Skill": "NoSQL Databases",
                    "Type": "OperationalSkill",
                    "Alias": "no sql, No SQL Databases, No-Sql, non SQL, non sql server, Nosql Architecture, Nosql Database, NoSQL databases, NoSQL Datasets, nosql db, nosql dbs, NoSQL Integration, nosql server, nosql soft, nosql software, NoSQL storage, nosql storage systems, Not Only SQL database, Not Only SQL db, software NoSQL",
                    "FormattedName": "NoSQL",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>NoSQL"
                },
                {
                    "Skill": "Operations",
                    "Type": "OperationalSkill",
                    "Alias": "Business Operations Management, business operations mgmt, daily operational management, effective operations management, Executive Operations Management, general operations, labor operations management, manage business operations, Manage operations, manage the daily operations, manage the overall operations, managed business operations, Managed Operations, Managed The Operations, management operations, Manages Operations, Office Operational Management, Operation Management, operational administration, operational functions, Operational Management, Operations, Operations administration, Operations And Management, operations coordination, operations corporate management, operations execution, Operations Management Consulting, Operations managing, operations mgmt, operations processes, operations techniques, Operations-Management, operative management, organizational operations, System Operation Management",
                    "FormattedName": "Operations Management",
                    "Ontology": "Management of Companies and Enterprises>General and Operations Managers>Operations Management"
                },
                {
                    "Skill": "Organized",
                    "Type": "SoftSkill",
                    "Alias": "",
                    "FormattedName": "",
                    "Ontology": ""
                },
                {
                    "Skill": "Pandas",
                    "Type": "OperationalSkill",
                    "Alias": "pandas 0.25, Pandas 1.0, pandas 1.0.0, Pandas 1.4, Pandas 1.4.0, pandas 1.4.1, Pandas Framework, pandas software, Pandas Version 1.0, Python Pandas",
                    "FormattedName": "pandas",
                    "Ontology": "Information>Software Developers, Applications>pandas"
                },
                {
                    "Skill": "Publishing",
                    "Type": "OperationalSkill",
                    "Alias": "book publishing, publishing articles, publishing books, Publishing Retail",
                    "FormattedName": "Publishing",
                    "Ontology": "Arts, Entertainment, and Recreation>Independent Artists, Writers, and Performers>Publishing"
                },
                {
                    "Skill": "PySpark",
                    "Type": "OperationalSkill",
                    "Alias": "Pyspark 3.0, PySpark 3.2.0",
                    "FormattedName": "Pyspark",
                    "Ontology": "Information>Software Developers and Programmers>Pyspark"
                },
                {
                    "Skill": "Qliksense",
                    "Type": "OperationalSkill",
                    "Alias": "Qlik Sense, qlik sense bi tool, qlik sense cloud, qlik sense dashboard, Qlik Sense Reporting, Qlik Sense Reporting Tool, Qlik Sense Visualization, Qlik Sense Visualizations, QlikSense software, software QlikSense",
                    "FormattedName": "QlikSense",
                    "Ontology": "Information>Statisticians>QlikSense"
                },
                {
                    "Skill": "SQL",
                    "Type": "OperationalSkill",
                    "Alias": "Advanced SQL, Advanced SQL Programming, Coding Sql, Database SQL, Databases SQL, Microsoft Sql Programming, Oracle SQL, Oracle Sql Programming, Oracle Sql2005, Programming Language Sql, programming languages sql, Programming Sql, Sql 2000, Sql 2005, Sql 2008, sql coding, SQL computer language, Sql Database, sql databases, SQL language, sql oracle, sql programming, SQL Programming language, sql queries, sql2005, sqldb, structured query language, structured-query-language",
                    "FormattedName": "SQL",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>SQL"
                },
                {
                    "Skill": "Staffing",
                    "Type": "OperationalSkill",
                    "Alias": "Agency Recruiting, Agency-Recruiting, develop recruitment, employee hiring, employee recruitment, Engineering Recruiting, Engineering Recruitment, Engineering-Recruiting, Engineering-Recruitment, hire personnel, hiring, hiring employees, Hiring Management, hiring personnel, hiring process, Hiring Staff, Human Resource Recruiting, human resource recruitment, Human Resources Recruitment, manage the recruitment process, managed the hiring process, managed the recruitment, personnel hiring, personnel recruiting, Personnel recruitment, recruit management, Recruit Personnel, recruiting, Recruiting Human Resources, Recruiting Management, recruiting personnel, Recruiting Process, Recruiting Talent, recruitment coordination, Recruitment management, Recruitment Mgmt, recruitment of staff, Recruitment Operations, Recruitment Process, recruitment skills, Selecting Staff, staff hiring, staff Hiring management, Staff Recruiting, Staff Recruitment, Staffing, Staffing and Recruiting, Stafﬁng Services",
                    "FormattedName": "Recruitment",
                    "Ontology": "Finance and Insurance>Human Resources Specialists>Recruitment"
                },
                {
                    "Skill": "Tableau",
                    "Type": "OperationalSkill",
                    "Alias": "software tableau, Tableau, Tableau 10.0, Tableau 10.1, Tableau 10.2, Tableau 10.3, Tableau 10.4, Tableau 10.5, Tableau 2018.1, Tableau 2018.2, Tableau 2018.3, Tableau 2019.2, Tableau 2019.3, Tableau 2019.4, Tableau 2020.1, Tableau 2020.2, Tableau 2020.3, Tableau 7, Tableau 8.0, Tableau 8.1, Tableau 8.2, Tableau 8.3, Tableau 9.3, Tableau Analytics, Tableau Bi Tool, Tableau Infrastructure, Tableau Reader, Tableau Reader 10.2, Tableau Reader 10.3, Tableau Reader 10.5., Tableau Reader Soft., Tableau Reader Software, tableau reporting, tableau reporting software, tableau reporting solutions, Tableau Reporting Tool, Tableau version 10.2, Tableau version 10.3, Tableau version 10.4",
                    "FormattedName": "Tableau Software",
                    "Ontology": "Information>Database and Systems Administrators and Network Architects>Data Visualization Software>Tableau Software"
                },
                {
                    "Skill": "Training",
                    "Type": "OperationalSkill",
                    "Alias": "",
                    "FormattedName": "Training",
                    "Ontology": "Finance and Insurance>Training and Development Specialists>Training"
                },
                {
                    "Skill": "XML",
                    "Type": "OperationalSkill",
                    "Alias": "Coding xml, Extensible Markup Lang., Extensible Markup Language, XML 1.1, XML API, Xml Coding, xml data, XML Processing, XML Programming, xml scripting, xml software, XML Technology",
                    "FormattedName": "XML",
                    "Ontology": "Information>Software Developers and Programmers>XML"
                }
            ],
            "Required": [
                {
                    "Skill": "Computer Science",
                    "Type": "OperationalSkill",
                    "Alias": "Computer Science Engineering, Computer-Science",
                    "FormattedName": "Computer Science",
                    "Ontology": "Information>Software Developers and Programmers>Computer Science"
                },
                {
                    "Skill": "Discipline",
                    "Type": "SoftSkill",
                    "Alias": "Disciplined, Self Discipline, Self Disciplined, Self-Discipline, Self-Disciplined",
                    "FormattedName": "Discipline",
                    "Ontology": "Management of Companies and Enterprises>Managers, All Other>Discipline"
                },
                {
                    "Skill": "Financial Engineering",
                    "Type": "OperationalSkill",
                    "Alias": "Engg Finance, Engg Finance Process, Engineering Finance, Engineering Finance Process, finance engg, Finance Engineering, Financial Data Engineering, financial engg, Financial-Engineering, fiscal engineering",
                    "FormattedName": "Financial Engineering",
                    "Ontology": "Finance and Insurance>Financial Analysts and Advisors>Financial Engineering"
                },
                {
                    "Skill": "Mathematics",
                    "Type": "OperationalSkill",
                    "Alias": "basic mathematical, basic mathematics, Math Detail, Mathematical Basis",
                    "FormattedName": "Mathematics",
                    "Ontology": "Information>Mathematicians>Mathematics"
                },
                {
                    "Skill": "Programming Skills",
                    "Type": "OperationalSkill",
                    "Alias": "advanced programming, code programming, Coding, coding languages, coding skills, Computer Lang., Computer Language, Computer programming, Computer Programming Lang., Computer Programming Language, Computer Science Programming, development languages, its programming, Operations Programming, Programming, Programming Coding, programming concepts, Programming Lang., Programming Languages, programming skills, Programming-Language, Software & Programming Languages, software coding, Software Programming",
                    "FormattedName": "Programming Language",
                    "Ontology": "Information>Software Developers and Programmers>Programming Language"
                },
                {
                    "Skill": "Python",
                    "Type": "OperationalSkill",
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        "Responsibilities": "Utilize data science techniques combined with intuitive design, flexibility, and accuracy to develop first class preventive business controls\nArchitecting massive reservoirs for big data and ensuring that our data pipeline provides clean, organized, and aggregated data that can be utilized by our alert framework\nCollaborating with the business, finance and operations to investigate and implement controls\nImproving and maintaining existing models\nWorking with and connecting various datasets ( Trade orders, executions, PnL, client value, sanctions, booking models, legal entity flows, eComms, expenses, ops losses, external/internal reference data )\nDeveloping labelling Model to identify root cause before publishing alerts\nDeveloping analytic dashboards to visualize and monitor control profiles\nWorking with API's and modern/legacy databases",
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        "JobDescription": "Data Scientist\nCollabera\nNew York , NY \n\nOverview\n  1991 To Till , Collabera has been a leading provider of IT staffing solutions and services. We are known for providing the best staffing experience and taking great care of our clients and employees.\n\nOur client-centric model provides focus , commitment and a dedicated team to help our clients achieve their business objectives. For consultants and employees , we offer an enriching experience that promotes career growth and lifelong learning.\n\nKey Responsibilities\n\nUtilize data science techniques combined with intuitive design , flexibility , and accuracy to develop first class preventive business controls\nArchitecting massive reservoirs for big data and ensuring that our data pipeline provides clean , organized , and aggregated data that can be utilized by our alert framework\nCollaborating with the business , finance and operations to investigate and implement controls\nImproving and maintaining existing models\nWorking with and connecting various datasets ( Trade orders , executions , PnL , client value , sanctions , booking models , legal entity flows , eComms , expenses , ops losses , external/internal reference data ) \nDeveloping labelling Model to identify root cause before publishing alerts\nDeveloping analytic dashboards to visualize and monitor control profiles\nWorking with API's and modern/legacy databases\n\n \nQualifications\n\n5 years' experience working with large data sets within capital markets\nUndergraduate degree in a quantitative discipline such as computer science , mathematics , statistics , engineering or financial engineering is required\nStrong programming skills in modern python are required\nSolid experience working with pySpark and Hadoop ecosystem at scale is desired\nExperience working with real-time data pipelines ( Kafka , Apache Beam ) is preferred\nExperience and/or training in data science and statistical modelling\nExperience using pandas , Airflow , scikit-learn , spacy\nExperience working with Tableau or Qliksense/Qlikview is desired\nProficient in SQL , NoSQL databases , and working with API's\nProficient working with nested JSON's and XML's\n\nData Scientist , Hadoop , Pyspark , SQL\n \nRecommended skills\nPyspark\n \nData Pipeline\n \nData Science\n \nQlikview\n \nReal Time Data\n",
        "JDHtmlData": "<html><head><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" /><meta http-equiv=\"Content-Style-Type\" content=\"text/css\" /><meta name=\"generator\" content=\"Aspose.Words for Java 14.4.1.0\" /><title></title></head><body><div><h1 style=\"line-height:24pt; margin:0pt\"><span style=\"color:#182642; font-family:Arial; font-size:24pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Data Scientist</span></h1><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">Collabera</span></p><h3 style=\"line-height:12pt; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">New York, NY</span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">&#xa0;</span></h3><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p><h3 style=\"line-height:13.5pt; margin:0pt\"><span style=\"color:#182642; font-family:Arial; font-size:13.5pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Overview</span></h3><p style=\"margin:11.25pt 0pt 7.5pt; text-align:justify\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Since 1991, Collabera has been a leading provider of IT staffing solutions and services. We are known for providing the best staffing experience and taking great care of our clients and employees.</span><br /><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Our client-centric model provides focus, commitment and a dedicated team to help our clients achieve their business objectives. For consultants and employees, we offer an enriching experience that promotes career growth and lifelong learning.</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none\">&#xa0;</span></p><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Key Responsibilities</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span></p><ul type=\"disc\" style=\"margin:0pt; padding-left:0pt\"><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Utilize data science techniques combined with intuitive design, flexibility, and accuracy to develop first class preventive business controls</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Architecting massive reservoirs for big data and ensuring that our data pipeline provides clean, organized, and aggregated data that can be utilized by our alert framework</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Collaborating with the business, finance and operations to investigate and implement controls</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Improving and maintaining existing models</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Working with and connecting various datasets (Trade orders, executions, PnL, client value, sanctions, booking models, legal entity flows, eComms, expenses, ops losses, external/internal reference data)</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Developing labelling Model to identify root cause before publishing alerts</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Developing analytic dashboards to visualize and monitor control profiles</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Working with API's and modern/legacy databases</span></li></ul><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Qualifications</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">&#xa0;</span></p><ul type=\"disc\" style=\"margin:0pt; padding-left:0pt\"><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">5 years' experience working with large data sets within capital markets</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Undergraduate degree in a quantitative discipline such as computer science, mathematics, statistics, engineering or financial engineering is required</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Strong programming skills in modern python are required</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Solid experience working with pySpark and Hadoop ecosystem at scale is desired</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience working with real-time data pipelines (Kafka, Apache Beam) is preferred</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience and/or training in data science and statistical modelling</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience using pandas, Airflow, scikit-learn, spacy</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Experience working with Tableau or Qliksense/Qlikview is desired</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Proficient in SQL, NoSQL databases, and working with API’s</span></li><li style=\"font-family:serif; font-size:10pt; line-height:108%; list-style-position:inside; margin:0pt 0pt 0pt 18pt; text-indent:-18pt\"><span style=\"font:7.0pt 'Times New Roman'\">&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0;&#xa0; </span><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">Proficient working with nested JSON’s and XML’s</span></li></ul><p style=\"font-size:12pt; line-height:108%; margin:0pt 0pt 8pt\"><br /><br /><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Data Scientist,Hadoop,Pyspark,SQL</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><h4 style=\"font-size:12pt; line-height:115%; margin:0pt\"><span style=\"color:#182642; font-family:SimSun; font-size:12pt; font-style:normal; font-weight:bold; text-transform:none; vertical-align:baseline\">Recommended skills</span></h4><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Pyspark</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Data Pipeline</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Data Science</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Qlikview</span></p><p style=\"font-size:12pt; line-height:108%; margin:0pt\"><span style=\"color:#5d677a; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none; vertical-align:baseline\">&#xa0;</span></p><p style=\"background-color:#e9e9e9; font-size:12pt; line-height:108%; margin:0pt 7.5pt 7.5pt 0pt; text-align:center\"><span style=\"background-color:#e9e9e9; color:#182642; font-family:Arial; font-size:12pt; font-style:normal; text-transform:none\">Real Time Data</span></p><p style=\"font-size:11pt; line-height:108%; margin:0pt 0pt 8pt\"><span style=\"font-family:Calibri; font-size:11pt\">&#xa0;</span></p></div></body></html>",
        "BuildVersion": "3.1.2022.06.21"
    }
}"
    },
    "jdWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 35,
            "Child": {
                "JobProfileTitle": 100,
                "JobProfile": 80,
                "JobProfileAlias": 60
            }
        },
        {
            "Parent": "Organization",
            "Weight": 5
        },
        {
            "Parent": "Skill",
            "Weight": 15,
            "Child": {
                "RequiredSkillSet": 100,
                "PreferredSkillSet": 80,
                "AliasSkillSet": 60,
                "JobProfileRelatedSkills": 80
            }
        },
        {
            "Parent": "Degree",
            "Weight": 5,
            "Child": {
                "QualificationsRequired": 100,
                "QualificationsPreferred": 80
            }
        },
        {
            "Parent": "ExperienceRequired",
            "Weight": 10,
            "Child": {
                "MinimumYearsExperience": 100,
                "MaximumYearsExperience": 100
            }
        },
        {
            "Parent": "JobLocationCity",
            "Weight": 10
        },
        {
            "Parent": "JobLocationState",
            "Weight": 5
        },
        {
            "Parent": "JobLocationCountry",
            "Weight": 5
        },
        {
            "Parent": "IndustryType",
            "Weight": 5
        },
        {
            "Parent": "Domains",
            "Weight": 5
        }
    ],
    "pageSize": 5,
    "pageStart": 0,
    "explainScore": true,
    "explainScoreType": "json",
    "explainWeightage": true
}

Sample Response of Match with Multiple Sub-User Ids API with Dynamic JD Weightage

{
    "count": 31,
    "pageStart": 0,
    "pageSize": 5,
    "records": [
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            "City": "Metro"
        },
        {
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            "score": 31.85,
            "CurrentEmployer": "Morgan Stanley",
            "TotalExperienceInYear": 14.1,
            "CurrentJobProfile": "Senior Ops Specialist",
            "State": "New York",
            "FullName": "Alma Rebekah Perlow",
            "Country": "USA",
            "City": "New York"
        },
        {
            "id": "2210170114271027O6SFB5O2",
            "score": 26.32,
            "CurrentEmployer": "Wells Fargo, Operational Risk & Compliance Group",
            "TotalExperienceInYear": 16.6,
            "State": "NJ",
            "FullName": "Michael",
            "Country": "USA",
            "City": "Franklin Lakes"
        },
        {
            "id": "2210170114221022D8H6O5VZ",
            "score": 26.32,
            "CurrentEmployer": "BILL.COM AML Investigations",
            "TotalExperienceInYear": 21.1,
            "CurrentJobProfile": "Senior AML/Transaction Monitoring Analyst",
            "State": "New Jersey",
            "FullName": "Larry L. Shiera",
            "Country": "USA",
            "City": "Weehawken"
        },
        {
            "id": "22101701141810189PMTWA5S",
            "score": 26.32,
            "CurrentEmployer": "KPMG",
            "TotalExperienceInYear": 11.6,
            "CurrentJobProfile": "Manager, Risk Consulting - Banking and Capital Markets",
            "State": "NY",
            "FullName": "Joseph A. Conte",
            "Country": "USA",
            "City": "Larchmont"
        }
    ],
    "explainScore": [
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                "maxScore": 100.0,
                "Match": {
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                    "maxScore": 100.0,
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                        {
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                            "value": "[5.0 TO Infinity]"
                        },
                        {
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                            "maxScore": 10.53,
                            "entity": "EmployerCity",
                            "value": "new york"
                        },
                        {
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                            "entity": "State",
                            "value": "new york"
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                        {
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                            "entity": "EmployerCountry",
                            "value": "usa"
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                        {
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                            "value": "Undergraduate degree"
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                            "entity": "Domains",
                            "value": "Research And Development"
                        },
                        {
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                            "maxScore": 5.26,
                            "entity": "Organization",
                            "value": "Collabera"
                        },
                        {
                            "score": 1.32,
                            "maxScore": 1.32,
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                            "value": "python"
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                        {
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                            "value": "Computer Science"
                        },
                        {
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                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Programming Skills"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.69,
                            "entity": "RequiredSkillSet",
                            "value": "Mathematics"
                        },
                        {
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                            "maxScore": 0.68,
                            "entity": "RequiredSkillSet",
                            "value": "Statistics"
                        },
                        {
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                            "maxScore": 0.41,
                            "entity": "RequiredSkillSet",
                            "value": "Financial Engineering"
                        },
                        {
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                            "maxScore": 0.35,
                            "entity": "RequiredSkillSet",
                            "value": "Discipline"
                        },
                        {
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                            "maxScore": 0.29,
                            "entity": "PreferredSkillSet",
                            "value": "Data Science"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillWithoutExp",
                            "value": "hadoop"
                        },
                        {
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                            "maxScore": 0.27,
                            "entity": "SkillWithoutExp",
                            "value": "sql"
                        },
                        {
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                            "entity": "PreferredSkillSet",
                            "value": "Airflow"
                        },
                        {
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                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Apache Beam"
                        },
                        {
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                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Big Data"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipelines"
                        },
                        {
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                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Databases"
                        },
                        {
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                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop Ecosystem"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "NoSQL Databases"
                        },
                        {
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                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Tableau"
                        },
                        {
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                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analytical Modeling"
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                        {
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                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analyse Business Objectives"
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                        {
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                            "entity": "JobProfileRelatedSkills",
                            "value": "Establish Data Processes"
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                        {
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                            "value": "Develop Data Processing Applications"
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                        {
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                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Applied Machine Learning"
                        },
                        {
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                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Deep Learning"
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                        {
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                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Forecasting"
                        },
                        {
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                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Architecture"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Analytics Framework"
                        },
                        {
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                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Governance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Replication"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Availability"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Compliance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Intuition"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Mining"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Amazon SageMaker"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Markov Chain"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Agile Data Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Real-Time Computing"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "API"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipeline"
                        },
                        {
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                            "entity": "PreferredSkillSet",
                            "value": "Framework"
                        },
                        {
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                            "entity": "PreferredSkillSet",
                            "value": "PySpark"
                        },
                        {
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                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "XML"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Data Sets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Datasets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Qliksense"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Kafka"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Pandas"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.11,
                            "entity": "PreferredSkillSet",
                            "value": "Massive"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.06,
                            "entity": "PreferredSkillSet",
                            "value": "Lifelong Learning"
                        }
                    ]
                }
            }
        },
        {
            "id": "221017011406106989SO6TY",
            "explaination": {
                "score": 31.85,
                "maxScore": 100.0,
                "Match": {
                    "score": 31.85,
                    "maxScore": 100.0,
                    "detailScore": [
                        {
                            "score": 0.0,
                            "maxScore": 36.84,
                            "entity": "JobProfileTitle",
                            "value": "Data Scientist"
                        },
                        {
                            "score": 10.53,
                            "maxScore": 10.53,
                            "entity": "TotalExperienceInYear",
                            "value": "[5.0 TO Infinity]"
                        },
                        {
                            "score": 10.53,
                            "maxScore": 10.53,
                            "entity": "City",
                            "value": "new york"
                        },
                        {
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                            "entity": "State",
                            "value": "new york"
                        },
                        {
                            "score": 5.26,
                            "maxScore": 5.26,
                            "entity": "Country",
                            "value": "usa"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "QualificationsPreferred",
                            "value": "Undergraduate degree"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "Domains",
                            "value": "Research And Development"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 5.26,
                            "entity": "Organization",
                            "value": "Collabera"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Computer Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Programming Skills"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 1.32,
                            "entity": "RequiredSkillSet",
                            "value": "Python"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.69,
                            "entity": "RequiredSkillSet",
                            "value": "Mathematics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.68,
                            "entity": "RequiredSkillSet",
                            "value": "Statistics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.41,
                            "entity": "RequiredSkillSet",
                            "value": "Financial Engineering"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.35,
                            "entity": "RequiredSkillSet",
                            "value": "Discipline"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.29,
                            "entity": "PreferredSkillSet",
                            "value": "Data Science"
                        },
                        {
                            "score": 0.27,
                            "maxScore": 0.27,
                            "entity": "SkillWithoutExp",
                            "value": "tableau"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Airflow"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Apache Beam"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Big Data"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipelines"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop Ecosystem"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "NoSQL Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "SQL"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analytical Modeling"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analyse Business Objectives"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Establish Data Processes"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Develop Data Processing Applications"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Applied Machine Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Deep Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Forecasting"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Architecture"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Analytics Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Governance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Replication"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Availability"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Compliance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Intuition"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Mining"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Amazon SageMaker"
                        },
                        {
                            "score": 0.0,
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                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.69,
                            "entity": "RequiredSkillSet",
                            "value": "Mathematics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.68,
                            "entity": "RequiredSkillSet",
                            "value": "Statistics"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.41,
                            "entity": "RequiredSkillSet",
                            "value": "Financial Engineering"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.35,
                            "entity": "RequiredSkillSet",
                            "value": "Discipline"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.29,
                            "entity": "PreferredSkillSet",
                            "value": "Data Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Airflow"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Apache Beam"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Big Data"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipelines"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Hadoop Ecosystem"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "NoSQL Databases"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "SQL"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.27,
                            "entity": "PreferredSkillSet",
                            "value": "Tableau"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analytical Modeling"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Analyse Business Objectives"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Establish Data Processes"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Develop Data Processing Applications"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Applied Machine Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Deep Learning"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Forecasting"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Architecture"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Analytics Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Governance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Replication"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Availability"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Compliance"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Intuition"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Data Mining"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Amazon SageMaker"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Markov Chain"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Agile Data Science"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.26,
                            "entity": "JobProfileRelatedSkills",
                            "value": "Real-Time Computing"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "API"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "Data Pipeline"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "Framework"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "PySpark"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.22,
                            "entity": "PreferredSkillSet",
                            "value": "XML"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Data Sets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Datasets"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Qliksense"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Kafka"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.12,
                            "entity": "PreferredSkillSet",
                            "value": "Pandas"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.11,
                            "entity": "PreferredSkillSet",
                            "value": "Massive"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.06,
                            "entity": "PreferredSkillSet",
                            "value": "Lifelong Learning"
                        }
                    ]
                }
            }
        }
    ]
}

Dynamic Weightage in One To One Match

One To One Match API matches resume with JD or JD with Resume and responds the detailed matching score, refer One To One Match for more details.

Now, you can add dynamic Resume/JD weightage (resumeWeightage or jdWeightage parameter) for each One To One Match API request. See below sample request and response for One To One Match API request with dynamic resume weightage.

Sample Request of One To One Match API with Dynamic resume Weightage

Note:

Below sample request contains dynamic resume weightage (resumeWeightage parameter), similarly you can pass dynamic JD weightage (jdWeightage parameter) as necessary.
For the One To One Match request, dynamic weightage parameter (resumeWeightage or jdWeightage) is based on the matchType element. If matchType is Resume to JD, then you must use resumeWeightage, and if matchType is JD to Resume, then jdWeightage must be used.
You can change the weightage for different entities based on your requirement, and the API returns the response based on the weightage for different entities passed in the API request.
When you change weightage for one entity, for example, JobProfile weightage is changed to 55 from 35, then the weightage for different entities must be changed as well such that the total wieghtage of all entities in the API request is less than or equal to 100.
Refer above notes for more details.

{
    "index": {
        "indexKey": "Use Your Indexkey"
    },
    "match": {
        "resumeContent": 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0dGluZ3MueG1stFptb9y4Ef5eoP/B2M91zHdKRpyDSIk9p3EvqHPoZ3lX61WzkhaS1o6v6H/vSFp5befxIblDgCDW8uEMh/PGGVFvf/pSbU/uirYrm/piwd+wxUlRL5tVWd9eLH79FE6jxUnX5/Uq3zZ1cbF4KLrFT+/++pe39+dd0fc0rTshFnV3Xi0vFpu+352fnXXLTVHl3ZtmV9QErpu2ynv62d6eVXn7eb87XTbVLu/Lm3Jb9g9ngjGzOLBpLhb7tj4/sDitymXbdM26H0jOm/W6XBaHPzNF+y3rTiRps9xXRd2PK561xZZkaOpuU+66mVv1R7kRuJmZ3P3eJu6q7TzvnrNv2O59064eKb5FvIFg1zbLouvIQNV2FrCsjwurrxg9rv2G1j5scWRF5JyNT08l19/HQHzFwCyLL9/HIzrwOCPKp3zK1ffxMY98yqNiufljwjxh0K361ea7uIhZr2cDbd7nm7x79KKBY/F9QulHdg/VUUfd9lu8ZoI+lDdt3k4xeXCZanl+eVs3bX6zJXHIdU7I+iejdMP/pMThz/hYfBnHBz0s3lGO+K1pqpP7813RLilQKMEwtjgbgFWxzvfb/lN+c903O5pyl5OQVhzguvm4r5f9fozPfxRtTX48AstN3ubLvmivd/mSBn1T922znRmsmn82vafk0pLvT6zWTdPXTV98bJ/+IoLBa07580mH4VGKs5e0Rb366scLPs9HZzbPCKfUd3y6ntIokdR5Rfp9lhqvmhXlufvzfVt+uyMMBKM2uJ6kwgs1lPbbclV8Gux63T9si0DKvC5/K5J69X7f9SVxHA3wJyT4PQGKelj5F/LETw+7IhR5vyez/aDFRs8I23J3VbZt017WK3LIH7ZYuV4XLS1Q5n1xRX5ets39qOefi3xFp+0PWnffFf+myZQI5CcKk8+u6fum+vlhtyFd/zlLzr58dF+qGVbd/PAvipTHqSzxOpJhknRAjwhj2quDW75AuNE+hYhQyiUQUUaHDCJaSHPQ1QvEyFhjJDbCGoxYk+F1nLLGQ8SzYGKMcPoHkUwmTkGEeHGHEM6skVBqzoVK4Dqcy5hFEBFSpwIjJs2gTblUIjsk7heIoo1CHXAllYbW5srG2A+4ETyGfsBjazm0AvdCZpibF05JjKiUYx3QuMa6TuVrVkiVCVjqTAkNtSOYZQ5GieA2SyxEhNIOWlsIEwloOSF5FkPLCct8eAWR5hXZrOGvcIuYjqEVhGdRBj1eeMMD3k/KLY4fkdoshVFCDsoZpiErZNByIggbYfsEkXiIyCHmIDcphjiBiJQcSy2VDBz6jtTMx5jGMJ9Ca1NCVAJLYCmTwnwgI+0jTBPZGGdLyi2ZgtEoY+s4pkl0wPlaJjaxeKdOyhSv41SMbSqdtQ56ovRcOrxOxiPxCqKyDOYQmVkXYw8JiiWQm6KjyUPLEaKw3hTX0Vw0f43gXEWsWIRpjEyx99JBG+MspoxhDupARXTQYG6UDyKYxVRkNcdILAP2UZXIzOH9JFo6LIHTXMIspjKlArScCpzHMBZUkNHc2TxHNGEWaocKFJtA79XCCnxmEZIyjGglNdSONuKVeoeQNIH70ZZHGfRRba2S0A80rfKKBIm0uHLQCR3bmIbyRIB+oL1IDKzFqLKU2OM15fgEr0M2xbWLDlbhKDFMSZyvDbNOQt8xtMzcjr1ABPf4bCQk4BPd0CETQ40aYRzHiNJRBi1nDB0LWGrK4xxLEMjn4X7oKPEKrmOZST086y1nqYI6sNwGbFNLRVKEJRDMJVgCwbzF61AREEEPsYbqJ2htqjmNhj5qo6GQxohKseVswh0+Na2jQME6cCbiWKPpUIpAJGMWx6kNxuGYi5hMMU3ETYarwUjwBMdPJEzQmIYSBbZCpBQ1BhChRIp7mUhbqjwhYkwWY8Rao7HUEVUoUKNRQmUFRhxVcDB+Ij+cqBBJlcUdWEQ2cDDzERKnEImFMrg+iAVtFWo0HhoW6KOxVeRXEIl0hquamOpE3OnFMVP4XUAcq4D9IE6UjGAsxJ4qKxj1caoUtk+cSW2x3jLjcZ8VB2NxZBESAkQSyjwKajThlJOgfQjxKfSQRDKDs1gijU8xornAnTiVSNLCHJJoTc0ERAxjAVo7sZQsoX0oGWh8BieRsbimSCLKVtA+SaJTAbMlIRnDsnnqtKD3vv6+KkltgivVJKPGGq8TWIb7U0cZm0ONOuob8XskxxXDJ7oTdG5DazuhI/ymxAljAqZR1G7CnTpN3SbejzZKQa9yhqSGfuAiQ/X6K0iGq0FHfoArfEcub7B2MpnE0NouDC8KEOKZslgHfqheoASea2qBIKI0wzslxOFO3GsR4XPBUx2iMY0REmcXb6XwWLZIZLir9k47CT3Re85wNei9yXB94FORxliCIOngRkhKjTg+0VNhY4WRSL3yJiuNbMBdThrLVyq7lKpRD3WQptYJaNOM2xRXDpnkHmekTHHvMTdFlRCM08wyaaEVspiOU8wt4RpXQpnjCc5imVcCv4fNUgpI6G+BcclhzAU2FHAYMQLbJ3AW4+wfuJL43A6KWhNYU1DJKVLoiVTW0ZYwojzOoyGSEldpIWYCZz5q5kTAehtuEfA6zjD8Ni946kygjwbKfLibChk11VhvwVDPjRFrp7uPswnq3r2tzoevHYb7zOlpuDg8qSYKn1c3bZmfXA3fQ5wNM27az66sZ/ymWDdt8RS53t/M4OnpBHRVvt2GNl/OwGie6nxVdru0WI/P26u8vT3yPcxo4eiqWL9/5DVcRRft39tmv5vQ+zbfTReC8xSu1IGyrPsPZTWPd/ub65mqztuHJ9C+Xv1y1456Oqrn/rzfFNV4sfohHy/qxrlFffrr9XC1VuRdn3RlfrH4T376/uOk/+W2vR7u5YqrfLebrvdubvnFYlvebno+kPX0a5W3n8cfN7figIkRExM2/siXw2Zp9uHhOCbmsSfz5Dwmj2NqHlPHMT2P6eOYmcfMMLZ52BXttqw/XyweH4fxdbPdNvfF6ucj/tXQpITxvvayXm73q4IcZNUsu8v6us/77ggn+76ZL/s/lsvx+nhEu02+K9LpEwNy12YaOHxz0J3cnRdferLCquwXJ92uXFX5l+HbBDGG7WH2Nn9o9v2zuQM2TN495zB8t3G4mD17RjyGzAtZhk8fliW59/VDdXP8cOHNtOtt2fXXxS5v875pZ+xvI8YVbXp5SZFJT+O4CMoZ7aZqYYCnRS6r/LZId+Vxojycs1w/stAT8t84Sby1iT/VURKfKhHr09i4+FQ4Sj3Un7HUZv87BP/8wde7/wMAAP//AwBQSwMEFAAGAAgAAAAhABg2nroaEAAA5kwBABIAAAB3b3JkL251bWJlcmluZy54bWzsXc2O47gRvgfIOzQM9HHaIvXf2J6FLMvJLCaLIDtBzmq3uq2s/yC7u2f2lJ9HyEPklmuAPE5eIK8QkpJlu03RIiW5JbvmMJ4xxbL0sYr6qlgsfvf919n06iVKVvFiftdDN1rvKpqPFw/x/Omu98cvow9O72q1DucP4XQxj+5636JV7/uPv/7Vd6+38+fZfZSQC6+IjPnq9nU5vutN1uvlbb+/Gk+iWbi6mcXjZLFaPK5vxotZf/H4GI+j/usieehjDWnsX8tkMY5WKyLHD+cv4aqXiRt/LSftIQlfSWcq0OiPJ2Gyjr5uZSBpIWbf7TuHgrCCIPKEGB2K0qVFWX16VweCDCVB5K4OJJlqkjgPZ6lJwoeSbDVJ+qEkR03SgTrNDhV8sYzmpPFxkczCNflv8tSfhcnPz8sPRPAyXMf38TRefyMyNWsjJoznPyvcEemVS5jpD9IS7P5s8RBN9YeNlMVd7zmZ32b9P+T96a3fpv2zj02PpMzzp12Gi/HzLJqv2ZP3k2hKsFjMV5N4mVv4TFUaaZxshLyIHuJlNt1c97pEJc2laHoaplBuBZa5/Qz/2TS9c7FEpJUYESoi71HmFvZ/c3MnM6KF2x9WgmYHXFRyAtkIwAcCrHFUcsLfyHAyGf3x1kKpnLikaWzkpKNC5cRbYFHJeeztzewIWD2sHyZSUvAG1z7tG67DSbjKFZ1KjORuyszFfZvtYLR8qmYIv0kWz8uttLiatE/bae2VMgwJWZlB7Rr5qtrN/DQJl2S2m41vPz3NF0l4PyV3RMzjimj4FRsB+jdRFPrB/hl9Zd/Tsb6ic0zvI6FG4f1qnYTj9Y/Ps6u9/30iukkoFpF2m0SEVyX0y5RFeY/rKBkkUfgzvYRKma/o79y+hNO73oj9QcNen7bMnqfr+HP0Ek2/fFtGm2vYt1P6bXrVeracbtpMhAPf9620ZfpCG2Lysfktdi+bi1F6FSF4o1n+5f3zdBqt8/5foq95U/7lD+PNV9PoMbt2+fuE3QxBIfvcXEPkEyhul4sVvQtycX97WTynj06lpIDdPsbJav05phqyuTaTnGQfo8V8vaJwr8Yx0cmfvs3uF1PadeIRJPe+iOdE7EP0GBLEMmFMSp89xVuEUHWE/ve3f9cAko1FMCHNYUhNwvkTo++6dWqkcHWkFjXghAxDCJSjqQHlL56TOEqufoxed9B68+14dXihHIp6Hfr2zxpwxCgHhocjNrEajn8iV1MPc7WD4v53coClk241wP7+nzoAcxwRYDo22gGY2ZYZjQAgBMy13ntKs9oxpRm6cO43LMW5/0RTmt2WKc3UhK8G01B8NdRtoU5bpjTTFr4DLPRu74D+HrOmvyGk3ainQLuJi0EcRDujzXzaPfl2n8QPvxOQ7yH2naE78vLhyIeZYbdeTscEyVFgEA+Q8y4jjg7D9O3YP0TjeBZmv/dm8K8zbak09owoFY/9AY/a4V0Fgy/NvHN4iN26BIcauNEpGCZtVrGKUtOxNCl/AyIalARxuniNkj8sZuGcr2P6DQfKJH6a1MoyafOeluUci8nnP7R+oDmjkg8ttCqD98Q1s0TWLFAe/gMbB6Pssm+i+Tpcxy9ReTeWjfrnaE3mRT4IZh0gHGN+tFkaBJOj6hVAEKi+VYvqH2N1tFla9S2O6quBIDQFuw4tOEbHaLO0FtinMwWnFhDEFIs1S4PgnMwU3FpMwTKEkyJr3gWhwBQkSSF9N8qTQtccmiN7mD6eKikcGJZmBYaYFBpDS/MCk+OEAik8gXnjOsy7IlcsT+oqgHA+JE8NBCB9QPqA9B03BSB9QPoYBl0mffS1IU36ELY8NDCM9PFUSZ+haw7WTJyDlw/dDukzB0PNdT1OCJiQPlPaZusgfQ4SjRNt3R0mw5RlfK+392kH4H3A+46CALzvdKYAvA94H/A+BgLwvm7zPjprSvM+rPsaxq6bPp5ysM9HjoN8JwcvH7od3qf5ged5tlee94lW///6rxq0VTbYp7T6H4WrtbeKw7vel3gWregy51WqglQ0JzWA5qPwLq2+uKxmNA0vNrM8u+JBUE7DO8lis5a+pmsFtZ5UIJaNVwxra5L1Dtluqrk1Q1pLOh/N1xNA+v7pfAfMua1GzzL6iqFsNuFPOp30LaitNXqW4FcMa2vy/w55fWuNnqUAFkOqnCFYn9Ef+AhtNXrLEb6SWLMKlE0Y/YHP0V6jt03ha4k1q8Ba3ej7ch4MRVjegzEHrqUPs0QD+a1jgyHyTT0I8oHIVaCGrWOn2BhFW1WGV2YCIjD8kgO+EX/U+WjdBNSuvFZZUFPno4UTkGwUvLkJSBbSBl6UNUFaLa7+jpCmLkgbHeJqUfp3hLS1zEM25t8eSFMHpI0eXLVVhHeENHVD2ghptTWJd4Q0dUJaCKnsCsd7QtqXc0LozCDvhDi2b9nISO9IdRklQI5lDF2uK0IVgXmjQ9s3kMnPmUbZTr7y2lBuGQUWRWRALeWpnG6Jo/r25jatesAahgxAsCLBB6btBQXatOQACwgSAMFyQBEwjQb3q1tcm+L93YzeU72TJ85Df2gM8Ch9fvnovYE1A1soi/7vDignes+qlHJGrPlNhZJx5wY2FfLAsOXB+HC9Te7vMB5lK7kdBePmWj8HPMrWHSmDx821cQ6QlK26VhKSm+ssxbHbqJQtrVYelZvrbdXODgNTtpCaFDA319kU3W1sypZHk8Xm5nqbcdxheMoWQ1OA5+Y6y+yuhpBsTYTt9aoI9eW4J2XvCtwzMM0gDWSrB211og5Dz9m+8/Jx3QnaQu475L5zB6FVCSliUDuU+96ehBQxpG2KGx+DtKGElAvMfW8qEeXCc9/bk4wihrRDue9NJaNcYO57U0koF5773p5ElLeQ9uU8GLqtW9qD0dHQ1zSrYv1myw2MYOBnftCuIux4MAPsaPZg0KZSfbbLPKeCoaetuyNv6Jur6/HaoV4LHfsDEKBeC9RrgXotUK+lUVOAei1Qr4Vh0OV6LayqnDzlM+yhZfhG+nzKR3b4jmfagZjytTBo3VQFBghaywxCh+JXHQpadyV+xQta1wDhZcSrOhOk7lK8qkNB6vbGq/Yh7VCQ2sbC1xFrVoH0AoPUtiuuNEGbVaC88CC1YwlfS6xZBdaTB6mR0imDuunayBpmzoaqy+IGeqBrLveI760mtNBlEXss4LA0P62JBgBcFZX3hPg10WJHpQFA6+AwTeWBXaDj0lTu14U7Lu0pSCSGtEOOS1NxtAt0XJqKnV2449KeYkRvIe1LOi5KJ2HqLvaJR1GxOL7mmEbgOV4+Hrkm7DguloksCw34m1Yzz2l/8CG9pqSVQHrNBgRIr4H0GkivgfSaY6YA6TWQXsMw6HR6DX1vKFA+0zIHfhYqVqV8DvI17GE/Ry8fux3K5+OBZgamz6V873MOpi0cKNq6O05GPsMB5QPKxwcBKB9QPqB8QPmA8gHl24LQFOVTOgJT9xwDYZTV8VKlfJ49wqaHjRy9fOx20xNGmqfbesCjfFC7WZYeQu3mEqhB7eYjAB1yTajd3Lo1/z0eBbWboXZzExYHtZuLgIHazWdeuxkpHb2o+8jWAlMYLBUVbx55nmUGeFtROB9R/jr4+wRF370+JEd5CRhZVoIMGFC8eR8MKN58gAcUb+ZBAsWbC1CB4s3FwEDxZiE2ULz5GDyXUrwZKR25ZyDPtgZokGKhXPsM2cHAs7aqmA/sbth246WWG+pT7HgVjOgpzgMX2wSUX4byywJYofzyybMMTmD0UH4Zyi8LYIXyyyfPpziB0XdmgxiUX27E6M+m/DKimizvg3iWb2pVs4XLnSDTMh+kqeNjwAs5gBK8ECVYwQsBLwS8EPBCwAupSJ3BC6nL6MELacToz8cLUTrH0iSjYwYeeyZ1L2QQWAEaDbjJOG81AVZCwAcBH6QErOCDgA8CPgj4IOCDVCTO4IPUZfTggzRi9OfjgyidRGnq5ggN7Mx7OMVKSNms54bNie3/LB73ZreHnqs30qUavl3yRjpSw7dD3khTFPoCvZEu1fDtkDfS3hq++5B2yRtpiEJfoDfSFG2+cG+kqTOxTu6NsDlfwRuxDFsbZbs6lE8c8h3NsGzxiUMGUQNnNOLtSXXdbANY+cHvUEmf9SSaEZWfhX9eJL+lVyhYFJT06brHsUd2oaTPEYCgpA8fGCjpo2ZxUNLnCEBQ0qcIGCjpc+YlfbDSWZ0WGhlYN4cpAPIlfYam6Zg6vwzmqSaA475RBm+Ba9T4hEFg+GVzZ/nNCGlyS6BrKkuoSfDKVgtqPnGloUWNJsGrYZHtfLJ+ZMErW4ToIhYpZMErW6uocfCaWpZoEryy9YwuIm9HFryyBY8uYplBFryy5ZAaB6+phYV6wetLcnqlYywtHVsaRqP0llSj4YaFHR/54jONLGRqg2DEefMVle8UKMJ///KPGhShqY3KnEB5mSg6p6VsefzX2/uj9tedFJ8O5U11KMWHxeCLYYUQvQKkNGovgBSC+qWhZHH+YiibXQY44xQfugxQDCusEijQR7pwUAwprCtIQEmXGgRQNroSccYpPnQlohjWDi1UUL2Vd2oGmoVQqlnqTo3vOtoIuaU2PZ9qw0FraXA7s3WUKe2lZ+uo8tZzdgVqYaPnnq2jzCcvPFtHmTSeMw+vhQqee7aOMpm78GwdB3dl1y1WOrrWGjoGNg0jBUCVBA8HGnaGmjjPHUgwkGAgwUCCgQQDCa5icUCCgQSrWRyQYDWL6xAJpoBJk2DbHFqW52RHeaqSYKy7wUDXxOktNkZ4YAX802mzUPT+UDZ+Oq0tXFGlrbtDb+SrWgVDX5UNs+pBKjo/XbxGyedoTUaaDxa+qQGtignsJcktGlQBIU0A4mKg8zBI4qeJFAiyiegoVzEBCIcEdqQIgtBkjDq0oGIyeUma2pwpmHWAoFdLCi/JOhszBasWU5BN7i5lCofMshFTsOvQgooJ2iX5Y3Om4NQCQrVE65J0sDFTcGsxBdmE6QJTkKV8Sme/2rYdWK6dMS5Vyqf5Qy1whuKzX13d9h3k8TOa34nyuSyTuojyuWwS3lI+fXM1UD6gfHwQgPIB5QPKB5QPKB9Qvi0ITVE+qivylC8gNEzzjfT5lEu6jTxfC9IJYH/sdiifrgc4cHzOJlqsoWyVfH+4RAHbDpV0K7cNTZIeQkm3EqhBSbcjALV1fRx2fxUAAyXd1CwONmsdAQi2XhUBAyXdul/Sbc4Y8zw7ioXhsUefc1w2Qb05p19a8orbD7OtTgX90uRObj/Guwu6pbFRbjdb0C2t8MN/OsayC/qlvJzfj8VyC/qldV24/VjuQEG3tKIJ/+dE/VxBv41+8fqh1Pfhd2TmUNRRoC4iXJBAXZBoAJFAX4j7L+go0BiRfiKRygg7CnRGeKMCncEiC0QirRH1E2gNFhkFFmiNSNuwaI4RGT0WTTIircECrRE+oUhphHcq0BossmAs0BosGkUsUhvhaAjUZk/d0s80bvLx/wAAAP//AwBQSwMEFAAGAAgAAAAhAKIsMIMUDwAAQYsAAA8AAAB3b3JkL3N0eWxlcy54bWzMXVt32zYSft9z9j/w6Gn3wbEutpzk1O1xfGlymrhu7GyeIRKyUJOElqR86a9fAAQpiENQHBBxtw+NRXI+AvPNN8CAFPTTL89JHDzSLGc8PR1N3oxHAU1DHrH0/nT07e7q4O0oyAuSRiTmKT0dvdB89MvP//zHT0/v8+IlpnkgANL8fRKejlZFsX5/eJiHK5qQ/A1f01ScXPIsIYX4mN0fJiR72KwPQp6sScEWLGbFy+F0PJ6PNEzWB4UvlyykFzzcJDQtlP1hRmOByNN8xdZ5hfbUB+2JZ9E64yHNc9HpJC7xEsLSGmZyBIASFmY858vijeiMbpGCEuaTsforibcAxziAKQCYh/QZh/FWYxwKSxOHRTiceY3DIgPHrTEGQB4V0QqFMq38eihtSUFWJF+ZiBTXqOMa7iWRPkrC95/uU56RRSyQBOuBIC5QwPL/ov/yH/UnfVbHZRdGPwstRDy8oEuyiYtcfsxuMv1Rf1L/XPG0yIOn9yQPGTsd3bFEyOeaPgVfeUJEtD29pyQvznJGWk+uztK83SzM4eFDecuYpPfi/COJT0c0Pfh2u3uT+tCCRQKZZAe3Z9LwULe5/Nfoybr+VF7V6LaQoBDkbZkXxFm6/MzDBxrdFuLE6WgsbyUOfvt0kzGeCe2fjt690wdvacI+siiiqXFhumIR/b6i6becRtvjf1wp/eoDId+k4u/ZyVxREefR5XNI1zIbiLMpScStr6VBLK/esO3Nlfl/K7CJ9lmb/YoSmRKDSRNCNR8FMR0OMRsOcTQc4lha5AZt7c7ZNEhUV6FuNH+tG5281o3evtaNFMyPvBFLI5EL1fXwNgB1H47ShgccJRAPOEolHnAsUkHjWJSAxrEEOhrHEsdoHEuYInAKHtqi0Aj2mSXau3EtUTkY1xKlg3EtUTsYd3/Cd8Pdn9/dcPenczfc/dnbDXd/ssbjlhOf4JOQWVoMVtmS8yLlBQ0K+jwcjaQCS1VtfvDkoEczL530AFNmNj0QD0YLifq8P0KUSN3H80IWPwFfBkt2v8lEsT+04TR9pLEouwMSRQLPI2BGi01m8YhLTGd0STOahtRnYPsDjVlKg3STLDzE5prce8OiaeTZfRWil6RQBzTZFCspEuYhqBMSZnx40zjxlh8+s3y4ryRI8GETx9QT1rWfEFNYw2sDBTO8NFAwwysDBTO8MDA48+UijebJUxrNk8M0mie/lfHpy28azZPfNJonv2m04X67Y0WsUrw565j0X0k7j7lcZx/cjlt2nxIxARg+3OgVzOCGZOQ+I+tVIBdq22HNPmPv84FHL8GdjzGtRvI1r1chci56zdLNcIfuoPkSV43nSV41nieB1XjDJfZFTJPlBO2jn3rmdrMoWkWrkHqJ9pbEm3JCO1xtpBgeYVsBXLEs9yaDdlgPEXwtp7OSTh+Zb9vK4Q3bYg2XVTMreW2ehvTQypiHD37S8MeXNc1EWfbQjtR80ISBvuJxzJ9otOcWmCxQZLwMPrNhU8VRrxxwmaxXJGeqeNqB6D/2V4/sgy9kPbhDNzFhqR8iLw8SwuLA35Ti492Xz8EdX8u6UzrGD+AHXhQ88Yaplwb/9Z0u/u2ngWeiKk5fPPX2zNN6kQI7Zx5GnRKJR56QxLyTpczLoKrwfqMvC06yyA/aTUbLt2QK6gnxliTrchbiQVsiLz6J/ONheqTw/kMyJheKfInqzguYsY6YbxZ/0nB4qrvmgZelot83hVqQVHNfZe0Pbvi8YQdu+JxBsSmGBxm/Hjq7Aze8sztwvjp7HpM8Z9Znqs54vrpb4fnu7/BqUOPxmGfLTezPgRWgNw9WgN5cyONNkuY+e6zwPHZY4fnur8eQUXge1ugU3q8Zi7yRocB8MaHAfNGgwHxxoMC8EjD8lR0DbPh7OwbY8Jd3SjBPUwADzFeceR3+PT32McB8xZkC8xVnCsxXnCkwX3E2uwjocikmwf6GGAPSV8wZkP4GmrSgyZpnJHvxBHkZ03viYcW0RLvJ+FJ+fYKn5TvWHiDlonXscbJdwvki+TtdeGuaxPLZLg9LpCSOOfe0trYdcJSlsXB4/G6v2d2KJsPL6JuYhHTF44hmlj7ZbUW9fLsmoV63B8//ei17fmb3qyK4XdXL/ybMfLzXsirYd8z237DN5/Nph9kXGrFNUjUUftdhPutvDL7lMD/ab7ydSexYHve0hPec77fczpJ3LE96WsJ7vu1pCb7EMe/SwwXJHloD4aQrfuoazxJ8J11RVBu33rYrkGrLthA86YqiHakEZ2EonxZAdvppxm7fTzx2e4yK7CgYOdlReuvKDtElsK/0kcmRHZM01f3q1ymat5upSXSvzPnHhpfr9jsPnPp/VemTmDilOQ1acWb9H1ztZBm7H3unGztE77xjh+idgOwQvTKR1RyVkuwovXOTHaJ3krJDoLMVHBFw2Qra47IVtHfJVhDFJVsNmAXYIXpPB+wQaKFCCLRQB8wU7BAooQJzJ6FCFLRQIQRaqBACLVQ4AcMJFdrjhArtXYQKUVyEClHQQoUQaKFCCLRQIQRaqBACLVTHub3V3EmoEAUtVAiBFiqEQAtVzRcHCBXa44QK7V2EClFchApR0EKFEGihQgi0UCEEWqgQAi1UCIESKjB3EipEQQsVQqCFCiHQQi2/e+guVGiPEyq0dxEqRHERKkRBCxVCoIUKIdBChRBooUIItFAhBEqowNxJqBAFLVQIgRYqhEALVT0sHCBUaI8TKrR3ESpEcREqREELFUKghQoh0EKFEGihQgi0UCEESqjA3EmoEAUtVAiBFiqE6IpP/YjS9pr9BL/qaX1jv/+jK92or+Z3u02oWX+oqlV2rP7fRfjA+UPQ+k3Emao3+oGwRcy4WqK2PFY3cdUrEagHn7+fd3/lx0QfuAuT/i6EemYKwI/6WoI1laOukDctQZF31BXppiWYdR51ZV/TEgyDR11JV+myeilFDEfAuCvNGMYTi3lXtjbMoYu7crRhCD3clZkNQ+jgrnxsGB4HMjk3rY97+mlev18KELrC0UA4sSN0hSXkqkrHUBh9SbMj9GXPjtCXRjsCik8rDJ5YOxSaYTuUG9VQZliq3YVqR8BSDRGcqAYw7lRDKGeqIZQb1TAxYqmGCFiq3ZOzHcGJagDjTjWEcqYaQrlRDYcyLNUQAUs1RMBSPXBAtsK4Uw2hnKmGUG5Uw8kdlmqIgKUaImCphghOVAMYd6ohlDPVEMqNalAlo6mGCFiqIQKWaojgRDWAcacaQjlTDaG6qFarKDtUoxg2zHGTMMMQNyAbhrjkbBg6VEuGtWO1ZCA4VkuQq4pzXLVkkmZH6MueHaEvjXYEFJ9WGDyxdig0w3YoN6px1VIb1e5CtSNgqcZVS1aqcdVSJ9W4aqmTaly1ZKcaVy21UY2rltqodk/OdgQnqnHVUifVuGqpk2pctWSnGlcttVGNq5baqMZVS21UDxyQrTDuVOOqpU6qcdWSnWpctdRGNa5aaqMaVy21UY2rlqxU46qlTqpx1VIn1bhqyU41rlpqoxpXLbVRjauW2qjGVUtWqnHVUifVuGqpk2pctfRFmDAPW0DdJiQrAn/7xX0k+aogw3cr/JZmNOfxI40Cv139jOrl4dPOr1NJbPX7deL6QvhMbolufF0pKreE1YDqwk9R/StS0li2JNC/rKUPqwbrx7Xqb/27X/lf1YVT/Wwz/+tc/j6Wccz4xS11tz3tq1ukHzBPQJu2P1il7rggwhW/SxeCFqdye8U9PVmXPXmgdH0tLlfHeLnH0ufHuLJW4jusr9bdX5znutN1l7UeNtUBuSFwTD34YWr1g77lq/ihCriGH8oGvKI3ZlZv6Kfzr+IN1b093vDf9yNr37UGX6Xvys/ISNjf8XAleh7qve8sqUpval1/CVNtad10iWXn65KSegDbCWsz35bX7WTbsv2WdhdywOxosxpQO3NsOebaGvhOTyL2tVC0ZxGXVIg/PqWRAHjSm7SWLY2eSQklzp/TOP5Cyqv52n5pTJcyasTZyVhtedI4vyh377TaZ2qaZwU43G1M+bE7Tsof+NDvH1mHNDmXaXG3ehluqKd7xvBWvPX0pdmg7Zm2G2thhXImVlmMxX9XV95za/nWWbN55dF9iaUlgfwZVhfKuaNwhz1hWHsHx5KdCUY1LDt1V+7ArPbMaPZ4u5v9vl63c4VPe90NLDeIhhOAll2pkQ3WXIjspaaN4t/KSEpeNmbNc6EJXXvYzk/LN1mlcDUSU5lnKbcaF5NZ0cPJvCZrNwD8MNyuOb0xdNNv+rAlAVTNaJnulsFajm6ubarfXG22qj5ha5cmoaVdTH1gPdvVHWxdYYaOr7bkNVX/AXnr3pnkT9Rbj0M7BKeK5s7wP65DLdE8rENls77TRcuQpmYQ5XbX+3o0ZHKR5UzqWqfpo/F8dq4TtRZ1Xm4oJK5ZyD2WpfDHakZQfjzbFFxfokdrshQCqa9SnxoXGUmjp9bCTS6mI7fyguac4M8shRMwdbDNba0zzU5HYDmVM5HtbiLNhqm1mO1pPLMzXRHs5Iydps8ujy4vtQw0h2XulglefjNA6zKUG7U9FxsS6z2jvNJC1uuYHoh7PNKsoNGBpB/ORNqvGkLc9Gp68lZFPzq7lBuJtc8fzE3G9pEmJ34NQ2l3LjznW69iDJ68O9N+0INw84fbyYonRPa0+kn2+oD6JfbyUyPVTfQ67U6qU8eQg2RHhDRd0+XzYOu83nFhoQFJwf+/v21DS7UTXNOvxiZxFlfo2tmeYibjk/lMN9nihnMSs0XGZJsoyYuznJGdg9o51ZGGP1onjtXCNFGjkTpG04NfPziEZe2m7YJvtd7bdFfLkjAuDv2p/eRiPJtoL7RNW+bj48vjc429qg3DmJJSjPJikXTFaCw/Llkszl5OLq4uLvxKeyljQX4Yw7Ve8xzOkY1h7mh2NdkjRZbQPLimT8FXoTm1lF9pEp5R4mwxYKkYNPV6hG5w3Qj9eRuj+ghrfgZXgPJ4XM+W63gfsP6OJmraQdT0hxN19khTlsmlyYOv9H4Tl+GqubKc/Pt4aalrnIraPrzMOniZ/XBePlKR9woWmsPZ7rG/jYXq4anJQnkMOWJ2sFBkxfgZTlr14Tbfm9PARkHx9uR4op9dv3JlVf2V//w/AAAA//8DAFBLAwQUAAYACAAAACEAz0l/ygUCAADiDAAAFAAAAHdvcmQvd2ViU2V0dGluZ3MueG1s7JdNj5swEIbvlfofkO8bMAEWok1WWq1aVdp+qN327hgnWLU9yHZC0l/fgXyxTQ9LL80hFzyMeR9m/Moy3N1vtArWwjoJZkroKCKBMBxKaZZT8v353U1OAueZKZkCI6ZkKxy5n719c9dMGjH/JrzHJ12AFOMmmk9J5X09CUPHK6GZG0EtDE4uwGrm8dYuQ83sz1V9w0HXzMu5VNJvwziKMrLH2NdQYLGQXDwCX2lhfKcPrVBIBOMqWbsDrXkNrQFb1ha4cA770WrH00yaI4YmZyAtuQUHCz/CZvYVdSiU06iLtDoB0mGA+AyQcbEZxsj3jBCVfY4sh3GyI0eWPc6/FdMDuNKX1SBKfFjXsNUyzyrmqj5RDCsqPeK2ul0jzScflgYsmyskoesBGhd04PaK/bdDF4pNl29bIDPcEKVcu/0YNJN2iSnN8ts4jaNufg7l9rGbWzOFkyRss7gdnsTCH7LRMftVLqu/pJ+hPk8+gPeg/8hjHQ+lbSN/0hjcxgRv3K/2uTaoGRf7mIMC3H1s5WGHUL3KhinnLyoaprX9zodIw1PTu/ClHUlRpAlNb/OrHZdgR5YW6W2SJcXVjkuwI8/iIk9plFztuAQ7aF7kY1pE+fXwuAg/YjrOx2NKr6fH//NjN3YfWfitv/1sfnx86l7ClILmy6f3O1nvz2T2GwAA//8DAFBLAwQUAAYACAAAACEA9a14xWMDAADrDwAAEgAAAHdvcmQvZm9udFRhYmxlLnhtbNyWTU/bMBjH75P2HaLcIS+kr6IgKHTbAQ7QaWc3cRtrsR3Z7tuV3XfeYfsI0w6btAvfBokrX2GPnbYEmraEMSSWqI3z2P7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xEeH8/kh/f3c5cHrRoSG2L4sb93fsk48Y+y2LfHYaOPhm9Oa7BBGwlXSs14n/NK9URX5W01xnXnccRsHt/Z2EIIPy8BJmY2siUhn1o9MA0a6j0n87ruVdC1VrxtsSRzgXeA2T5IN6khTylJ+sFDjoJm04dWRhZ1JYFyvD9XuMFsF7Y54gIclECc1SdJ1jxsK03k9DqFh6g1Hxw5IZytjxLM/GSgq75MENVv7COTT/LjHyO9O2534Y8S774rETK+K5GpfidpVmrX4QLxvkRFcV+uTgUdouXRl27u8qte1KzWDB5zcTVu421lprVaPTG0mZhohzNePjlN+TM1vL9Wl1X8iJQbyMNaM+zICsRbSijm3N5L6yswgB5JqdBgjFRLENgskckk1QRSlQYWQ8OYK1vyEnwEEyGYVVauX6/d0fWJucseA2wTFABmU8FRWtW8hsCiw7YifjIF50ub/bpXBFNMgmZtRxyQPDRxxdxpevsNEmCEY3GiItJE7+6H6zYkcTF7SQB/LJEmlbLu9F8eUiKpW6NnD6g9zTMGzMtvDro+9fo7k4g6PRFKvL8XVJ735BwIV63Mdny3fjhzeqjYYMMqMVdUmUuNTa2jJumKWgPHilZx6JaZHWbBR84HIsom+1yo6KvUfqElvcYMuO2nIWtWmZZiAsET7HZNlyziOfEu9AoeqO8DkRCEBemqLPlCKZpxEWjPzhnPs1mmU0QMRQ/bhpuk7fQ1NiSmzke/Eg5pEBcsHQ2WtglbghnpN56YKxPFUalYNd4UgLEq1fUF0xheAJDF2t4kr+ei7YwJMUFx4jBc8KzICkZuYY80wMK+9Lp0QqbYOOZ4WPpvrHGDGY4zjXXnyeR6/sceUvQQmT0OTIRcewVE5HTfzFEqRnDu2qJJvVQpf/aOxu7ezVGRQ9u4VyN+xk4lWBX7nqoFGtiryOFMSvANrVvYZIb0phOQ6LjLzU4d2ayAYmPHkJhK9SLrHELyVbj0B40k6XIytBx/pqwGiav3pajXkmJ//hJRezs4NgceKlwinitlgnJBo6liw5mqcAJvOJhEyffSSUcnYOQ9fv5sKUJvXP0o3sJLL7u3olN4/sBebmxLrNtg8fVtomB254c4E0iizeZF967Au24CCOFJIPlgnPG2o8g+s1S42PltcfW31OhGh7fdcJBxtyEGC/EnALT9ai3WcgiEEJzbRdDLiXs8wQlK8JBxPm5jT9Spopuq326Czv7ASpluVhA5TlGWOlySeVZIDAo1wmebFoRPpkxpry86a56ZbB0v5GLKwrWf2vw8S/O6FVMKOD/V4215oeLU0Lu4lPQDYy4fKl/5lspJUYLaPHmTKcsqCMoajIgRYLMUVemPzFEewpPJpq9VWELtvWzrWzH4oSPos/cNzsc/bRGTrRoWnzQRif54E75frMkxSbvcoU5JApbwUCrBTBFacPMUPPF+atHqjw1jJR3mWjoCk40CTfPFNYZ/+18tLBESpUk9YUBD8yGE1CRfxD/8dGUDQ3WL8ho5hUmsHnjtmYjAMCbcgoKh8AlWmlR1Y5mH5P7SPRDexC6eG5ZHwBHK9XF4zlipA0ZjoV5H4lCJjuhkwor5M47UMt5druHdA/teiAoYvFPBmuNjxbtcBqoMFiuCpC+ptpLS08rZojZngDmkE4FfA4MgFKSOXXCcAl9FP8v2Zq7wGeNzhSpQfkc6TEFvqIF7aM2IlpTl0YMw1uXWoN+sH+KxGLdR3Fk7RNCg/L2PwRzavCkTEi8/KF7ElZmUfuphi97woTPMkqEOhBuZAuJ40V/nVUEuv5NC3IUjigg7LawYn4k2tsqqHp9MWbKY9Kew1hgyfcvSzq5VXiSSITGh1yK/GoOYxZJaO8SSoRdVFI7ghc78gyQct3lUwm2lx5wkM7cEZUL+vhEKLJBfoCjnkmhz+mJFtISz3T9uJMcVLemwEQAhhz2enVuofiVlPchq2dWWtGTxzWdEFaJl5xEEtWzyksUUTBvEMJX9OiH8wJmYtkNcr6RkkyhpX+OSWwmOMxowgKhfctQzILOwEGV86LSL0i04k+EvY1W60vv32+ar4/+3h2dda+XKMpRvez42CSr0JRWi3wXb7FJgPHHrBR4KBAo+NiH6p1jbJrtuW6IfM9YkbH6/hjr8tGAxSCZH+O+ZjPhD2LCSAu6h1ccK/LA949xxrs+4BblEiYOz8od8lCZKSGrOsEHKmv2JUbDTizUSsSJS+Dd+mBz0BrektGMSeGSqmEI2w8DmmENrah+hgdKP3n2EHqdvguxeyZw5xufCjoILNl4Lsh4SfsGpdsqigoyDnhndCJOIMqwb59kFXUXPVuGQop+uMAmymFmnG8uDwr7LoNubVKhAVl5uOvqHkWMt7rAZdQChNQDUvAYhG3hqjce+MEvkdFeb8LWpqGgvKURFZGZa/dPCkVk0hmt4vZR0B/+/L8y+fLs/U0bI6vAssLsS0FuIX94T0Udg7Z1e0I9T1dyISF2sh9D1uNodcsNsBGCwDgje9Ce7PY7IkNGIAjapDaDspKQ+P3RTnrNva73JZdDuECVgoDXdad3WJUXpHy6ZKLyVSAWuyO7Wg7jDepMxQ6RkIoku5QtrY/Ru48oNeyBziyTQ/w6RxaJiWLHp7SNxwm6yKifTYTB6UN8SDYK/AAbBgrIbBaPoRde/7E5V2s8E7PjUNYNXgs9AA9mhob8q4zHobsjT2woi0W+mIbPR21tvCkcjiAnYdu0E0pLZ8k0Gort0VlYh5eY+/KFuOR/e7t2o7DBAwd52Q8sZjTn/hI//mt+fHs9KzVvDoDosxNSSr+gOIwd2Gd5xyX7jKC4u+TjTccewBBwkUWXqPsawjnLnCiiJMXB79m5F/j65v2518+nl1+eMvK7BMsiOotkFD4g2/Ort4ynmzexPlmXKafsHSIzbNOObLCa/M4irpfM3iHgCwCzHAccFzwlTMLX/Soho0+oLxRBESLgEziPFytXrkbwJrB5gYCPwuvHBDD6fIQGCnsVNG5hx2vmYrSxRSd6BhzE5iFCPMidOvqYHWsUGpjnQFCuJgUQJgMfD3iBd7qB/6E9QJsJbTY/8DEFAODGqe3T0SSN63uELxKEYt/sYEVQq1Bn0fcHhDLu0ywbseyr9EUmFHwO6Jqgr+G2KpxA7GAkOBZHXBmBy8HIJb2bwSHTayAzAX6IN7kTsA8/i0STxNsiSfHQQC8ugJu1BsRm2YH5aHYCvvWtLiBIrOZtfV2ZeckczOieSYnLC4X4/TlneyMuMyHt9/X2vtie6e2WTV1UEsMMs+IHslDJFEyb2P+LqDHby7D8s7T1sGct7idn2lKK0rJexpEE1kFb3EV+GHIsWXYxy7fCMwicgJWSvAk0mXmxGiTL/kgHaIv5HhyY2ytLwiqtq7Y2efTLxefhOVghmQ2TExvKKE8nXlMvOhy4CMZeLojQe0U1dYya5mr5LCYlOUar2WuL8ceU80DcsXaeMONO7tBJKk0N63VJpahU6+7eHg+jK0Sz/rqClHbfQ5iTQmuqhrqBF/wfRYQ2WRqhN313TDEvzvcgn8+IHu6T28zSm0b2IDVBqxiKH5ZcwHqNQGrc1qYy3W+XxuTISHSbplJwdU0h4jtrlD5D4DzWpYbkeKfVbZX3Ss3dvfK9f3GnhGQWhwiZOlDBZ7rapSjyASGILykOVnFaSt2Y9A8tUthYATe9IjA0GfUDTaYUxPBGChWKb+5shBOjRGZqLdEdSMdbx4AxSKNVe92ysbQaKTBpEKJ4pFNH8qvedxW8JGY8RWSJJiBnTUdzMxemMUyIxI3ZgVaLYrqKl/VcFepgO2L7pW/xNbJBcozmCGyC8PCUmK5rsp77XU31ksXfNekQbc5ywVFja9hKaFziUyfFCplT8B0MUFx6NoPH/EZ+d7hyWRiRuGzVeYr0FjXheGA3gVKLzC8xapZimoJ2K49WShKYgwOczC7JPJDYihEL++Vovqbd3Li/IvqUkOHUvwvfhVY3prF1Oj+IUO+Z1Rr9MbhE/keFoN1NRwpgFwmS2TGxsrHr7bpoDTja2SrD323iFIgZBY2Ko3G/pJva0A7K8Rs9EFMLDcXTzXj9ZXx3/FSvJU91bOaujBDWMRveAq0NwNhBV+DXvdw1/8FAAAA///sVl2O0zAQvkqVA9DE6bYlIpVC2wUkFlVbJMSjmzqNhRNHiduyexrOwsmYGcdtwrIgBKg8bB7azHg8/sbz8+UY1bMX8LOyf9e6NM3gGPEmlTL25rzY1JJ7oMmTsulr0ib2ElhV3hBdpFrpGgwPXMWeTw/uM7koxBzXYs+IzyZA6+HpRDN7UxpRH6Q4DhbciGjgj3HZWCPCBl7qRm5v0e3yJVtOr9AxqVbg9aS8cCBDnw2Zz4IefAilQlyVQ9zB61S9IJxyITK+V+ah+aqjIs82ddXa3CkBu+n+3+m64OqD2NjcNPnWraRK8Brvj/IVe3xvNIqZVJC3a3raTRVPZbmDtY3IdC3gXDS0QgLbGmvQ6nkGeYy9MRmR8J0NVckjhWbrCLy3ZXaS/6DIjlFzDx7pPpjfxnQ/x/Lu6FwpYqLaJgCD/664zl3yXhbQJUEQ9eoMIDvYWB9+wsLngXfhjvD9xzD2Sv7CKJNnNz2YTy1LfY9t/dSyf4XY3uqUG6nL6OuXXqX9uGldH9se+XUnvxbqIIxMuzTd0+EMPSseknVIjxuQp/HInKYzMseocyMTWRqIxuSDj7r+1IvsH/XQNAkniyWNNTes7cz+nY8P5IVzSCGF6UJC3OjR4W9Eala9yfqzD5A2c2vYhEOYscloElq0uzVy0TH2AsZGRJE5vF9N4Z0SUu1uOJ5jdAX6kTWp5S4HT07caGN0cZaVyDqrueBbJOAJcB04yrQmPm7F3d6Q2B4H94U8iAwOvI42hGKr01e1xG8FJUuxkiYFlCFQus26vQ26nY3e3tELbNkXojSzbwAAAP//AwBQSwMEFAAGAAgAAAAhAJnxUNcFBgAAPRkAABUAAAB3b3JkL3RoZW1lL3RoZW1lMS54bWzsWUtvGzcQvhfof1jsvbFk62EZkQNbj7iNnQSRkiJHapfaZcRdLkjKjm5FcuqlQIG06KEBeuuhKBqgARr00h9jwEGb/ogOuasVKVHxAz4ERaSLlvvN8OPM7Dfk6uatpwn1jjEXhKVtv3qj4ns4DVhI0qjtPxz2P9v2PSFRGiLKUtz2Z1j4t3Y//eQm2pExTrAH9qnYQW0/ljLb2dgQAQwjcYNlOIV7Y8YTJOGSRxshRyfgN6Ebm5VKYyNBJPW9FCXg9t54TALsDZVLf3fuvEfhMpVCDQSUD5RrbFlobDipKoSYiQ7l3jGibR/mCdnJED+VvkeRkHCj7Vf0x9/YvbmBdgojKtfYGnZ9/SnsCoNwsqnn5NGonLRWq9cae6V/DaByFddr9hq9RulPA1AQwEpzLrbP5manVmANUP7T4bvb7G5VLbzhf2uF815dfS28BuX+ayv4fr8DUbTwGpTj6yv4+n5rv2v716Ac31jBNyt73VrT8q9BMSXpZAVdqTe2OvPVlpAxowdOeKte6zc3C+cLFFRDWV1qijFL5bpaS9ATxvsAUECKJEk9OcvwGAVQxR1EyYgT75BEsVTToB2MjPv5UCBWhtSMngg4yWTb/yJD8FwsvJ69eXP67PXpsz9Onz8/ffab6d2yO0BpZNq9+/nbf19+5f3z+0/vXnyXT72MFyb+7a9fv/3zr/e5h4fJoPX9q7evX5398M3fv7xweN/jaGTChyTBwruLT7wHLIEF6ujYfPCIX85iGCNiWuylkUApUrM4/PdkbKHvzhBFDtw+tuP4iIOYuIC3p08swoOYTyVxeLwTJxbwiDG6z7gzCnfUXEaYh9M0ck/OpybuAULHrrk7KLWy3JtmoKLE5bITY4vmfYpSiSKcYumpe2yCsWN1jwmx4npEAs4EG0vvMfH2EXGGZEhGVjUtjA5IAnmZuQhCvq3YHD3y9hl1rbqLj20kPBuIOsgPMbXCeBtNJUpcLocooWbAD5GMXSQHMx6YuJ6QkOkIU+b1QiyEy+Yeh/UaSb8DQuJO+xGdJTaSSzJx+TxEjJnILpt0YpRkLuyApLGJ/VxMoESRd59JF/yI2U+IuoY8oHRtuh8RbKX7fDV4CBpqUloUiLoz5Y5c3sbMqt/BjI4R1lIDEm8pd0LSc2U8n+F6BBxk8uzHlw7O1yPabsdWxM8uJ9d7nDifl4MlkV6HW5bmDuMh+fCVuYum6X0MD8Nqe/oozB+F2f/fC/O65/n65XihwCDOaiOYb7n1BjxZu/8eE0oHckbxodBbcAF9J+zDoLLTZ09cnseyGH6qJxkmsHARR9rG40x+SWQ8iFEG2/eqr5xEonAdCS9jAo6NetjpW+HpNDliYX7srFbVETMXD4HkYrxSL8fhyCBzdKO5OEqV7jXbSB955wSU7WVIGJPZJLYcJJrzQRUkfcCGoDlI6JVdC4uWg8W2cj9P1QoLoFZmBTZGHmyn2n69BiZgBOcmRHGo8pSnep5dnczrzPS6YFoVUIF3G0UFLDLdUlzXLk+tLi+1C2TaImGUm01CR0b3MBGjEBfVqUYvQuOyuW4tUmrRU6EoYmHQaG6/j8VVcw12y9pAU1MpaOqdtP3GVh1KJkBZ2x/D8R1+JhnUjlAbWkQjeAcWSJ4/8FdRlowL2UUizgOuRSdXg4RIzD1Kkravll+mgaZaQzS36iYIwgdLrgWy8qGRg6TbScbjMQ6kmXZjREU6vwSFz7XCeVebXx2sLNkU0j2IwxNvRKf8AYISqzerKoAhEfCOp5pHMyTwWrIUskX9LTWmQnbN94K6hvJxRLMYFR3FFPMcrqW8pKOvyhgYV8WaIaBGSIpGOIpUgzWDanXTsmvkHNZ23fONVOQM0Vz0TEtVVNd0q5g1w7wNLMXyak3eYDUPMbRLs8Pn0r0sua251i3tE8ouAQEv4+fouhdoCAa1xWQWNcV4VYaVZhejdu+YL/AcahdpEobqN+Zul+JW9gjndDB4pc4PdstVC0Pj+b5SR1r/f2H+xcBGT0A8uvAyd0ql0KmEPxA4gg3RQO9JStnQprv/AQAA//8DAFBLAwQUAAYACAAAACEA48OOHIEFAADhDwAAEQAAAHdvcmQvc2V0dGluZ3MueG1snFdLj9s2EL4X6H8wfO6u+RQlI06gZ5tmkwZxgpxpmbaFlUSBote7/fUdyVa920yCoCdR8+I3wxly5tWbx6aePRjXV7Zdzektmc9MW9pt1e5X8y+fi5twPuu9bre6tq1ZzZ9MP3/z+tdfXp2WvfEexPoZmGj7pV3Nj65d9uXBNLq/aarS2d7u/E1pm6Xd7arSXD7zi4ZbzQ/ed8vF4qJ0azvTgrWddY32/a11+8VZM7PlsTGtXzBCgoUztfYAuD9UXT9Za/6vNdjqMBl5+JETD009yZ0o+ZHkxd2Tddt/NX4G3qDQOVuavofINvXZ3UZX7WSmr3/Gzjmed9XGaff0zMhrOLa/rW1mp2VnXAkBXc1DMl8MdNjX7tZeewPcvjN1PeZAWRsNu5+We6ebRsOZnSmjztbs9LH2n/Vm7W0HQg8a8Cl2Mdnaj8e29MfxsN4Z14LFUa88aKdLb9y60yUQU9t6Z+vJwNZ+sD61TecgEGd0kESd9gPOkZk/dpCT60O185+Mh7w7wxn0vjrdfTaP/mvlD+P2V9aX3uS693Ff6TZxRt9/OtamH/nH3hT5nX6yR/9C/m27hSjF/YdjszEOoF58nZTi2r+r2t7eH++q1rwwujgtr6ihwLb9AH9YfLLWT74SkmRcCnZ2c+BeOYSoPM5QjiBREKKckARBgXJixiOKcWgkc8lRTsZDiVpjTAmF6jDBEiIwa0zK+DucUIkct1YEWSExazySkl4y7WXceEajAkXAcyIzNG68UELE2D6CCBGicRNCMoaiFiHcUygCGfIkU9g+QULCKEc5KSvwDFFUSYLGQEkqFIpaxUTh/oSUEYHGOoypyFFsYcxV9h2OiESC+ROmIsNPLiI8jVJMJ6IyjlBPI8YTGqE6nKcUjXWUkkKi5xNljMcBZi2mQRqjEU2oohmKIAlIKlF/vl/1qZJpht4HaciyEEWdglKBepqlhOWoTk4lBAHzNIdjKNC8ziNeJOh9kCcsD1FrUFgJXguFgkTE9qEkDNIIq0ZOMqkSjCNCIcMAyxCRRiLi2beeUiIKqQIENaU0lIojp0CZkDTG7kQaSMqLHMFGUyZJgHlKc5nIIEZQM5KELI6R6DBaKBYkSCZC5gI2ilQjExQ4BPGHqTBQkUTuRBYFiucUqQXOmQp4juhwniUkoUiGcJnnQmFZxVUcBZFEsPGIkaAIkMqCu3+4lZHK4nEuA5UgGS/gghdxiGATYZZCLSAIJIN3lieIpzIsCpJgmSjhNoJ3DskDmULGcYZEVKYK8ipGTi6gAo6bIzkaUKh6kSbf5nXAg+EmR1AH8GRSqbB9gpCpGPNUEXjk8qlNfP7SKpFFNMPeH5VJeBcUUnMqDwWPQiSvgSNVgb2AqkgTCXqDp9BVDRCgl2qWQ+f+0U2rAprIWXNuQVPdbFylZ++H3h60muXG3SdVO/E3BmYM85yzPm4m5s3NmdE3uq4LaFRHA9uq7zKzG9f1e+32V2tj+TZLh1KhR/6znEwPLbdxvzt77M57nKBbPfeYkwgV4mKvav1d1Uz0/rhZT1ottPXPWMd2+9eDGwwurkE5LT1MYmaIyp1u91NXadqbtx8GUehOa7cepjXzXncdtLYgstnT1byu9gdPh57fw99Wu/vxZ7NnFx4befA38MYfXQ6egfRlMQiclyB1WVxpfKLxK01MNHGlyYkmr7RgogUD7fAEcwwMKvcwFU3Lgb6zdW1PZvvHRFzNvyGdg9AfdGfgXIc5BpLKLkfCZbDpZw9LGCVWc7OtPAzCXbVt9ONqLikbL4uLdD3ODS9kB0uDcPeCOttqr2HMHo/qhfKY2P/BArOOKStIwvVTs7lOR7dn4HXV+7XpYJDy1oHL4+j122j5Opu//gcAAP//AwBQSwMEFAAGAAgAAAAhAN+iCf4tCwAAu1YAAA8AAAB3b3JkL3N0eWxlcy54bWzsXEtz2zgSvk/V/AcWT7OHjPWyZLtGmXKUeOIqjycb2TVnioIsjvnQkFRk59dvowGC4EtsiMxutnZzcQgQ+Brdja8BCM1ffn0JfOsLixMvCuf28OeBbbHQjdZe+DS3Hx9u3lzYVpI64drxo5DN7VeW2L++/fGHXw5XSfrqs8SCDsLkKp7b2zTdXZ2dJe6WBU7yc7RjIdRtojhwUniMn86izcZz2fvI3QcsTM9Gg8H0LGa+kwJ4svV2iS17O1B6O0TxehdHLksSkDbwRX+B44X2WxBvHbnv2cbZ+2nCH+NPsXyUT/jnJgrTxDpcOYnreXP7wQtgRPfsYH2OAie0oYY5SXqdeM7cXnrBco9l2+swqX/bTaqdnHEk3wmfoLcvjj+3Wfjm9r7YtypaeWvo2YnfLK9taHiGgmd/tQHsCsOBJw6S7BwXVMHHs0kZmAQ0zHF8j5tuNJtmD5/3PhQ4+zSSINgBgOndwmNJh2ApsNtS2B1q2eYucp/ZeplCxdxGLCh8vP0Ue1Hspa9z+/KSY0LhkgXeR2+9ZtzNZNljuPXW7M8tCx8Tts7L/3mDTiN7dKN9mIL40xna1U/WH15ctuNOA12HTgDQ97yBz7tNNBwUaO/l0oiCEioW/p1BDrlGQGV1KFvm8IlhofxHgXDU+85AIz4ifQDYr5Gs41al9CTrpLus5927QBfvprFZdymANLvaTVhF81266dPIFS6q62F8ecSxeYuKr7W2QNcywqj4SCtGxSVaW1Q8oLVFxeCtLSr2bW1RMefRFq6D9Fb2ojFqgzT9H7zUZ7z9UZoadiREGZCsT07sPMXObmvxgFoWG+mSJPVyv0ppgmOfpxPsx9cdiyEsPnNZaaKlcRQ+tWp0JKbRycz/IdhtncSDlVCL6UYdTScipvXTn2z1D7ISZKMHZyWci6S5d47vRxCrH9gLugapEUJYv8XeulUTMJM421ZU3hzH77ynbWottxjNW/ufNmi6rf87L8HxHp2B0wZHbuucpJlpgzM2d/47W3v7IFMNYaEzFUHAQPklCBTxuIompvaVENwAlCGIGGM+BOyfIL+ISOb9cxtT5Bfx68T+CfKLaHdi/+3rz6nx/H3vxM8WaXrNjOfuIvKjeLP3sznQSg8z4xmsIGhDMJ7Eqn8SScyMZ3CBPq1r14VNIcVPjW0hgHCa0VGMzSFQcLLRUYyNUqK9oYHejA1UwhoZYHXjWgOgbqRrANSNfQ2AutGwAVA3PjYAOp2Y6SDdGdoAy5gbFJWakdDMmB4UkBkP9UTehEVAD+RNQDE2UJW8CSjG1ikRqiJvAlZv5E3A6oe8CUD9kDcBqB/yJgD1Q94EoH7ImwDUnbzbQfojbwKWMTcoTtXJmwCEr5icJyggnbwJQMbcULvyxl6O76B7IG8CirGBquRNQDG2ThN5E7DwFRNPKGGplTcBqx/yJgD1Q94EoH7ImwDUD3kTgPohbwJQd/JuB+mPvAlYxtygOFUnbwKQMT0oIJ28CUD4igk31JI3zvpvTt4EFGMDVcmbgGJsnRKhqpU3AcvYQCUsRd4ELHzFxBkkFjq3yaD6IW/CiPohbwJQP+RNAOqHvAlA3cm7HaQ/8iZgGXOD4lSdvAlAxvSggHTyJgAZc0MteeNk/ObkTUAxNlCVvAkoxtYpEariOQKWsYFKWIq8CVjoL53JmwCEr5wKZDKifsibMKJ+yJsA1A95E4C6k3c7SH/kTcAy5gbFqTp5E4CM6UEB6eRNADLmhlryxjnyzcmbgGJsoCp5E1CMrVMiVEXeBCxjA5WwFNURsPohbwIQOmZn8iYA4SsnAOEsMjFTP+RNGFE/5E0A6k7e7SD9kTcBy5gbFKfq5E0AMqYHBaSTNwHImBv4nVCfWeSLkcMGJ6Be9LwNIckhMQAcNRiJCigH+JltWAy5N6z1xtG4I2A2QgPEBvegDvFdFD1btCvJ4wYHIUN5K9+L8DLyK94b1K7Qj2dH7sA//LGwPooEj0o7dKnivVXIjtHTYTD9hifGgJwpXC6e27vsTjTvDRJgeCaSTHHBzKlbSHiRaSu8Mc9jgRcxQUgW4zVNiYr/hyytdfbOYDAazSbw+z/WNCUADcXlVZkAdI7j4A/1CUAy2Qj+FPKiHiChCwYUeGEUf+SpT3xEWV5UbSUmSNXWuEmq9fYOsp3EAJKv2cDgBjUOKfm64JlZqJCsrJRF9bjUJcHEKiiC1lraFOq6xTrKHtL+Q0w00i2SZ/6gbCFcZc5k042VJ0NktTLr4kQrrhikz7FryNOSqV3SgWR6F/6sh/8vvYJCRvuUm/rui58JM5C6kd4CKXFcMUVj1+S5aYlvHs/Eykwv7LRCsNUiwb/PLOZZWWi1yUS8kdt2cpGV5LbNylps+3X7ZnHPW3e07ajRttLvVg7kov2hBqGbt8nsPJEgG7R0odFi68RisI1OkW8+UHXFJR8WGbnNM2O7e3BMaQe2uwPrC6vkiYHCo+b2JPcdnmaHbaoOg8lwoPBjDpNNc+evI+zAKz/ITEo+ZwsEUWiZEwQvzgnC5fdyMyWPbs4nl7jYQDbBtQjkM+JNVAyOWMwv+ANvvbvJnE41n2YluRuOsKyjc40bnUvydD/ONSY4l5HrVP1jKDJHWwhIvlVHQaBrzj6QtylcjT8Uo87hqupwOAdbHK6aYQtYGSfVVp6Qr7vCGZGxWs5gI7mEKEQnLOvoOpNG15Es2kQ+/y56KftIKeSADU6MSjg1Wm2uBSGRfa0VtEYlzX4qJmlTX5b1F4FcIH/HhRRsznUNaz+ZO6dS5zBzrrwSbEiwQ+esGl7mLrfFFdB1w6oozRK7GmTGrCwZEcuiimJL5IY1CAjZ4FjTJqHKycO305UvVirwn9uQr4Dh+wAYv8RKe/3iiG6hfsF8/3cH1zVptGt+1WcbvoKDjoYDPJ4odbWK0jQKmtvHmELW2AGoWBdGPPJBNOs+3AcrFkN6+RGfuY/4tr7CFPeRyIbpqPVm2Qp7GbValol9mNdX9oZC0h/KdST06esnrdOjUe4kTzLfQKGbtQQy0NuxBRKsqNlTxKzHW7XyKRbxj0aoV8T8ULuhYc2KWZQBKi7gTa0m5imkfda4Ef+IgkwJbbNZlX2yyd11HVsONHyKohm+5WKk1YZHPw1SU3nCmoMSpdqtXog9aq6q47PyRFUVdQavjVH4YtX8kJCMNbSFp9x7etjEw83jqUPLc7nLY8trug4u822zwNVMN3L4hU3NAP7dyL3KHiIP7qH5p20g1xrkP1U9S5G4XtaNLO6qmOxkxsjqK4F6itXdfQJxeclP2sqHaXLnLTZH5eHKSmts5VGlFJGanV2PTxmKcPbqNDA68Gk4gamhk/+G/U2BeY4Yqhziy7bS1w5dzaVhNVqsfilh5NGVM7T/TMSnWqBwSFVWfzZVRl11n6E0Kl5UlDi1g97/x46iqNb2Ixc/sVZZ8KkKsyhAsRBEq4Y9JlVqfvxekRgLzaQtBeGL2eRDduLQUcIAPkOwOfhTd3J+GVVELdZ2kflmNrsY9ihzlLDZer3yB7Uy57Xfk8yry79jUMPqpVbmvPZ7kjk5OIfoFX73q5U5r/2eZN6Mxy8X+7+CpFbmvPZ7kTn1Lw41PCGLu0g5ux7AtOMhqpnL6s9F+BmNOtar6BEvZuTVdSLqvznVrDDleqVmn13kusVidn4jz6vlAYWHx2f88Gtuz7Idmwvf7ILfjfaOvxQfkBRjxibEsR9Z7e2qv6ZCUduwiyO5HIwXlwvRSI7k/6cE8MuKXEDpv5TXn2XXf29U2LnlFIkar5OqnaGozs7NG60mq+demP0vefsvAAAA//8DAFBLAwQUAAYACAAAACEA+3YarAoOAACciQEAEgAAAHdvcmQvbnVtYmVyaW5nLnhtbOyd246byBaG77c079DyfdKAObkVZ2QbW5rRVhRpZ2uuaZvuRmNjC+jOJJd5mXmEeay8wl5FGTc0uKaB5YFs/ReJ1UBx+Cmgvlqndz//sdtePQVxEu6j6Uh/q42ugmi934TR/XT030+rN+7oKkn9aONv91EwHX0JktHP73/617vPN9Hj7jaIacMr2keU3DzR6oc0PdxcXyfrh2DnJ2/3hyCilXf7eOen9Gd8f73z498fD2/W+93BT8PbcBumX64NTbNHx93sp6PHOLo57uLNLlzH+2R/l4omN/u7u3AdHH/yFvFrjitbevv14y6I0uyI13GwpXPYR8lDeEjyve3a7o0u8SHfyZPqIp5223y7z4fXHG0T+59J591Wnvbnfbw5xPt1kCS01JMrT3vUNdWxjwKKXZxavOYUysfMz2Tnh9FpN6J7vLj/p5v3lm7etTz2tdjV84WQFu+pM/m3SRr76/TD4+6q9Ncvm+lIyzaJknBD65787XQ00ZeziWctRtei8e5xm4b/Dp6C7acvhyDfJlu6FUvlVunusM3Xldtvn8SKkH7yY1GXj9N8Y122p/6+2p0W3j5ut0Eq11DDT8Efp1Xfv/11Wv7rOt/LNrg7bn74GIuzTumaj7+lbeiPwz6ZjhxDE7u5ft4yjIQAYkdyLf3x4Ef32bM6tvOtj7uP5VHi1T5KE9rST9ZhOB3958vudk/9j5rOSNHigjUdtLA6jOgwm+DOJ3Xl9SRfqVmm/+nUsqPQKZIE4lqKSurZXeuk5J5DR900c2lyyYtCZqvbKLnYP8ZhEF99CD4X5HyxVGj6YtFDV2GN7sJ+//Ynh7SGfup1ddJmq9tI+xt1afEJopfyqZ+WlglZSws6izoejqiuq+qvhlj9g4hqDkZUej2qRM1W/yCiWoMR1RyfvgN1j3+2+gcR1R6MqJam/Fxlq38QUZ3hiOooP1SWWP2DiOoORlTbVH6ostWDFZXGrAXmEGPXwp901oW/BILIwWwRQTzNWi1s+QJsgyDl9sWBs8SdTgNnIAgJmt+1TkoCQerYDghyAwRpPvlQRjY5/1Baxi8qEOQCPRUIcgFRgSAXEBUIcgFRgSAsojZEEDnmKiKIputzfTIz5FRucyuIvlza8+XMPU0FE/cMwApChhYB4/0YQTpPJOvi3FOyMZJpUZhEezSDFIXs1QrSWVSDX9T2JpCirL1ZQDpLOh6spH3ZPzpLag5V0t6sH50ltYYqaW+2j86SkqcN9weK513am+Wjs6TOYCXty+7RWVLyOxtmL+3N6tFC0oaEIX0gyoQxcU3dNtsSxkRbapY2WYIwWB2r2B+NtlaO4lAYhEE2p7IfYFsnq6KsIIySayWLpCCMorcqh6QgDPZeCsJglxSEwS8pCIP7Xfp/TBjSGl8ijKU2t53lMcaiuQ1D0x3bNL0joQzGjao4gvvHAzlakOLL0A0QxgXCNthF5Zl3A2GwfxWzII3zwVuXi+Ho/OjDhkExcSWftM6SwobBLilsGOySwobBLilsGAySNrRhSNfUImHoNL7RF5bT1oaxWLqmOdOPseYgDGGY6/xNhJcUPRr8geEgDOaxG7ykGF7h5ckFEAa7pCAMdklBGOySgjDYJQVhMEjakDBknFaJMCbuwrTmk7aEMZ47i4ljwYbBm36KfTAMLynEYTC8b8rDYRAGu6QgDHZJQRjskoIw2CUFYbBLCsJgkLQhYcikBSXCmHumpTmt893a3tJ2XBOR3iCMy+a77WwYAmEwvG9AGOr0wZ17KQiDvZeCMNglBWGwSwrCYJcUhMEgaUPCkBm8SoSxnGiGPvPa2jBAGNWCGp2HGfCSokcDXlKy4ksWpiF875qWfCl7s9dkXe3cT2HDYHiFl6ENhMEuKQiDXVIQBrukIAx2SUEYDJI2JIxJVqakSBiGthpbumGBMPhK9nUeuYEw6NEAYYAwCKyyypavKdNZTO6ASG/24HnkkmKXFLmk2CVFLil+SZFLCrmk8jLgf1+Sr1oW3LC15VibtA7E0D1vqXkaQr3hJgU3qZbj4b5KgndGYRg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        "jdFileName": "Name of the jd file with the extension.docx"
    },
    "resumeWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 35,
            "Child": {
                "CurrentJobProfile": 100,
                "JobProfile": 80,
                "CurrentJobAlias": 80,
                "JobAlias": 60
            }
        },
        {
            "Parent": "Employer",
            "Weight": 0,
            "Child": {
                "CurrentEmployer": 100,
                "Employer": 80
            }
        },
        {
            "Parent": "Skill",
            "Weight": 15,
            "Child": {
                "SkillHaveExp": 100,
                "SkillWithoutExp": 80,
                "SkillAlias": 60
            }
        },
        {
            "Parent": "Degree",
            "Weight": 10,
            "Child": {
                "HighestDegree": 100,
                "Degree": 80
            }
        },
        {
            "Parent": "City",
            "Weight": 5,
            "Child": {
                "AddressCity": 100,
                "CurrentCity": 100,
                "CurrentEmployerCity": 100,
                "PreferredCity": 90,
                "EmployerCity": 90,
                "EducationCity": 50
            }
        },
        {
            "Parent": "State",
            "Weight": 5,
            "Child": {
                "AddressState": 100,
                "CurrentState": 100,
                "CurrentEmployerState": 100,
                "PreferredState": 90,
                "EmployerState": 90,
                "EducationState": 50
            }
        },
        {
            "Parent": "Country",
            "Weight": 0,
            "Child": {
                "AddressCountry": 100,
                "CurrentCountry": 100,
                "CurrentEmployerCountry": 100,
                "PreferredCountry": 90,
                "EmployerCountry": 90,
                "EducationCountry": 50
            }
        },
        {
            "Parent": "TotalExperienceInYear",
            "Weight": 30
        }
    ],
    "requiredCustomValues": true,
    "showCustomValue": true,
    "matchType": "Resume to JD",
    "pageSize": 5,
    "pageStart": 0,
    "explainScore": true,
    "explainScoreType": "json",
    "explainWeightage": true
}

Sample Response of One To One Match API with Dynamic Resume Weightage

{
    "ResumeJSON": "{  \"ResumeParserData\" : {    \"ResumeFileName\" : \"John Deo.docx\",    \"ResumeLanguage\" : {      \"Language\" : \"English\",      \"LanguageCode\" : \"en\"    },    \"ParsingDate\" : \"18/11/2022 10:04:45\",    \"ResumeCountry\" : {      \"Country\" : \"United States Of America\",      \"Evidence\" : \"PreferredLocation\",      \"CountryCode\" : {        \"IsoAlpha2\" : \"US\",        \"IsoAlpha3\" : \"USA\",        \"UNCode\" : \"840\"      }    },    \"Name\" : {      \"FullName\" : \"John Deo\",      \"TitleName\" : \"\",      \"FirstName\" : \"John\",      \"MiddleName\" : \"\",      \"LastName\" : \"Deo\",      \"FormattedName\" : \"John Deo\",      \"ConfidenceScore\" : 10    },    \"DateOfBirth\" : \"13/03/1980\",    \"Gender\" : \"Female\",    \"FatherName\" : \"Charlene Deo\",    \"MotherName\" : \"Amanda Deo\",    \"MaritalStatus\" : \"Single\",    \"Nationality\" : \"USA\",    \"LanguageKnown\" : [ {      \"Language\" : \"French\",      \"LanguageCode\" : \"fr\"    }, {      \"Language\" : \"Italian\",      \"LanguageCode\" : \"it\"    }, {      \"Language\" : \"Spanish\",      \"LanguageCode\" : \"es\"    } ],    \"UniqueID\" : \"17946232\",    \"LicenseNo\" : \"USA Medical license\",    \"PassportDetail\" : {      \"PassportNumber\" : \"31195884\",      \"DateOfExpiry\" : \"05/06/2021\",      \"DateOfIssue\" : \"18/09/2008\",      \"PlaceOfIssue\" : \"United states of America\"    },    \"PanNo\" : \"ADPAR9789T\",    \"VisaStatus\" : \"J1\",    \"Email\" : [ {      \"EmailAddress\" : \"Johndeo@rchilli.com\",      \"ConfidenceScore\" : 10    }, {      \"EmailAddress\" : \"John75@xyz.com\",      \"ConfidenceScore\" : 10    } ],    \"PhoneNumber\" : [ {      \"Number\" : \"200-600-3000\",      \"ISDCode\" : \"+1\",      \"OriginalNumber\" : \"200-600-3000\",      \"FormattedNumber\" : \"+1 200-600-3000\",      \"Type\" : \"Phone\",      \"ConfidenceScore\" : 10    }, {      \"Number\" : \"1234567890\",      \"ISDCode\" : \"+1\",      \"OriginalNumber\" : \"123-456-7890\",      \"FormattedNumber\" : \"+1 123-456-7890\",      \"Type\" : \"Mobile\",      \"ConfidenceScore\" : 10    }, {      \"Number\" : \"+1-212-9876000\",      \"ISDCode\" : \"+1\",      \"OriginalNumber\" : \"212-987-6000\",      \"FormattedNumber\" : \"+1-212-9876000\",      \"Type\" : \"Fax\",      \"ConfidenceScore\" : 10    } ],    \"WebSite\" : [ {      \"Type\" : \"Linkedin\",      \"Url\" : \"https://www.linkedin.com/Johndeo/\"    }, {      \"Type\" : \"Facebook\",      \"Url\" : \"https://www.facebook.com/Johndeo\"    }, {      \"Type\" : \"Twitter\",      \"Url\" : \"https://twitter.com/Johndeo\"    }, {      \"Type\" : \"Facebook\",      \"Url\" : \"https://www.facebook.com/olek.szadkowski\"    } ],    \"Address\" : [ {      \"Street\" : \"2915 John R St. Apt 306\",      \"City\" : \"Detroit\",      \"State\" : \"MI\",      \"StateIsoCode\" : \"US-MI\",      \"Country\" : \"USA\",      \"CountryCode\" : {        \"IsoAlpha2\" : \"US\",        \"IsoAlpha3\" : \"USA\",        \"UNCode\" : \"840\"      },      \"ZipCode\" : \"48201\",      \"FormattedAddress\" : \"2915 John R St. Apt 306, Detroit, MI, 48201, USA\",      \"Type\" : \"Present\",      \"ConfidenceScore\" : 10    }, {      \"Street\" : \"180 N Jefferson St. Apt 2703\",      \"City\" : \"Chicago\",      \"State\" : \"IL\",      \"StateIsoCode\" : \"US-IL\",      \"Country\" : \"USA\",      \"CountryCode\" : {        \"IsoAlpha2\" : \"US\",        \"IsoAlpha3\" : \"USA\",        \"UNCode\" : \"840\"      },      \"ZipCode\" : \"60661\",      \"FormattedAddress\" : \"180 N Jefferson St. Apt 2703, Chicago, IL, 60661, USA\",      \"Type\" : \"Permanent\",      \"ConfidenceScore\" : 10    } ],    \"Category\" : \"Health Care and Social Assistance\",    \"SubCategory\" : \"Cardiovascular Technologists and Technicians\",    \"CurrentSalary\" : {      \"Amount\" : \"276800.0\",      \"Symbol\" : \"$\",      \"Currency\" : \"USD\",      \"Unit\" : \"Year\",      \"Text\" : \"US $ 276800 per year\"    },    \"ExpectedSalary\" : {      \"Amount\" : \"300000.0\",      \"Symbol\" : \"$\",      \"Currency\" : \"USD\",      \"Unit\" : \"Year\",      \"Text\" : \"US $ 300000 per year\"    },    \"Qualification\" : \"2005 - 2009 \\t- St. George's University School of Medicine, New Haven, CT, USA \\r \\t  - St. George's School of Medicine, New Haven, CT, USA \\r - Doctor of Medicine degree, 3.5 CGPA \\r  \\r 1998 - 2002\\t- Yale University, New Haven, CT, USA \\r \\t\\t  \\t- Bachelor of Science 3.97 CGPA  \\r \\t  Molecular, Cellular and Developmental Biology \\r  \\r 1997 - 1998\\t  - Secondary Education, Carnegie Vanguard High School, Houston, Texas, USA\",    \"SegregatedQualification\" : [ {      \"Institution\" : {        \"Name\" : \"St. George's University School of Medicine\",        \"Type\" : \"University\",        \"ConfidenceScore\" : 10,        \"Location\" : {          \"City\" : \"New Haven\",          \"State\" : \"CT\",          \"StateIsoCode\" : \"US-CT\",          \"Country\" : \"USA\",          \"CountryCode\" : {            \"IsoAlpha2\" : \"US\",            \"IsoAlpha3\" : \"USA\",            \"UNCode\" : \"840\"          }        }      },      \"SubInstitution\" : {        \"Name\" : \"St. George's School of Medicine\",        \"ConfidenceScore\" : 10,        \"Type\" : \"School\",        \"Location\" : {          \"City\" : \"New Haven\",          \"State\" : \"CT\",          \"StateIsoCode\" : \"US-CT\",          \"Country\" : \"USA\",          \"CountryCode\" : {            \"IsoAlpha2\" : \"US\",            \"IsoAlpha3\" : \"USA\",            \"UNCode\" : \"840\"          }        }      },      \"Degree\" : {        \"DegreeName\" : \"Doctor of Medicine\",        \"NormalizeDegree\" : \"Doctor of Medicine\",        \"Specialization\" : [ ],        \"ConfidenceScore\" : 10      },      \"FormattedDegreePeriod\" : \"2005 to 2009\",      \"StartDate\" : \"01/01/2005\",      \"EndDate\" : \"31/12/2009\",      \"Aggregate\" : {        \"Value\" : \"3.5\",        \"MeasureType\" : \"CGPA\"      }    }, {      \"Institution\" : {        \"Name\" : \"Yale University\",        \"Type\" : \"University\",        \"ConfidenceScore\" : 10,        \"Location\" : {          \"City\" : \"New Haven\",          \"State\" : \"CT\",          \"StateIsoCode\" : \"US-CT\",          \"Country\" : \"USA\",          \"CountryCode\" : {            \"IsoAlpha2\" : \"US\",            \"IsoAlpha3\" : \"USA\",            \"UNCode\" : \"840\"          }        }      },      \"Degree\" : {        \"DegreeName\" : \"Bachelor of Science\",        \"NormalizeDegree\" : \"Bachelor of Science\",        \"Specialization\" : [ ],        \"ConfidenceScore\" : 10      },      \"FormattedDegreePeriod\" : \"1998 to 2002\",      \"StartDate\" : \"01/01/1998\",      \"EndDate\" : \"31/12/2002\",      \"Aggregate\" : {        \"Value\" : \"3.97\",        \"MeasureType\" : \"CGPA\"      }    }, {      \"Institution\" : {        \"Name\" : \"Carnegie Vanguard High School\",        \"Type\" : \"School\",        \"Location\" : {          \"City\" : \"Houston\",          \"State\" : \"Texas\",          \"StateIsoCode\" : \"US-TX\",          \"Country\" : \"USA\",          \"CountryCode\" : {            \"IsoAlpha2\" : \"US\",            \"IsoAlpha3\" : \"USA\",            \"UNCode\" : \"840\"          }        },        \"ConfidenceScore\" : 10      },      \"Degree\" : {        \"DegreeName\" : \"Secondary Education\",        \"NormalizeDegree\" : \"\",        \"Specialization\" : [ \"Secondary Education\" ],        \"ConfidenceScore\" : 10      },      \"FormattedDegreePeriod\" : \"1997 to 1998\",      \"StartDate\" : \"01/01/1997\",      \"EndDate\" : \"31/12/1998\",      \"Aggregate\" : {        \"Value\" : \"\",        \"MeasureType\" : \"\"      }    } ],    \"Certification\" : \"Oct 2016\\t  - National Board Certification by NCCPA. Expire 2020 \\r June 2017\\t  -Certified in Gerontology, DE County Community College, Expire 07/2025\",    \"SegregatedCertification\" : [ {      \"CertificationTitle\" : \"2017 Certified\",      \"Authority\" : \"\",      \"CertificationCode\" : \"\",      \"IsExpiry\" : \"\",      \"StartDate\" : \"01/10/2016\",      \"EndDate\" : \"31/10/2016\",      \"CertificationUrl\" : \"\"    } ],    \"SkillBlock\" : \"Good communication skills are essential for interventional cardiologists. As their work is physically intricate, so must be their communication with other medical personnel as they perform complex cardiac procedures. These cardiologists must also explain the procedures to their patients in language they can understand. Pre- and post-catheterization care of patients involves communication skills being used by cardiologists for evaluations and explanations. \\r Medicine and Dentistry - Knowledge of the information and techniques needed to diagnose and treat human injuries, diseases, and deformities. This includes symptoms, treatment alternatives, drug properties and interactions, and preventive health-care measures. \\r Scheduling patient appointments \\r Maintaining medical records, and billing and coding information for insurance \\r Preparing patients for examination \\r Helping physicians with patient examinations \\r Taking and recording vital signs, such as blood pressure \\r Drawing blood \\r Preparing blood samples for laboratory tests \\r Giving patients injections or medications as directed by a physician (in some states)\",    \"SkillKeywords\" : \"Communication Skills,Good Communication,Communication,Presentations,Examinations,Preparing Blood Samples For Laboratory Tests,Giving Patients Injections Or Medications,Preparing Patients For Examination,Diagnose and Treat Human Injuries,Scheduling Patient Appointments,Interpreting Medical Research,Market Research and Analysis,Maintaining Medical Records,Clinical Research,Medical Research,Drawing Blood,PowerPoint,Dentistry\",    \"SegregatedSkill\" : [ {      \"Type\" : \"SoftSkill\",      \"Skill\" : \"Communication Skills\",      \"Ontology\" : \"Management of Companies and Enterprises>Managers, All Other>Communication\",      \"Alias\" : \"ability to communicate, ability to effectively communicate, ability to interact effectively, able to communicate, Communicaitons, communicate effectively, Communicate Effectively With Customers, Communicate Effectively With Guests, communicating, communicating effectively, Communicating With Persons Outside, communication abilities, communication skill, communication skills, Communication Skills With Public, communicational, communicational skills, communications, communications skills, communicative skills, excellent communication, Excellent communication skills, good communication, strong communicator\",      \"FormattedName\" : \"Communication\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"SoftSkill\",      \"Skill\" : \"Good Communication\",      \"Ontology\" : \"Management of Companies and Enterprises>Managers, All Other>Communication\",      \"Alias\" : \"ability to communicate, ability to effectively communicate, ability to interact effectively, able to communicate, Communicaitons, communicate effectively, Communicate Effectively With Customers, Communicate Effectively With Guests, communicating, communicating effectively, Communicating With Persons Outside, communication abilities, communication skill, communication skills, Communication Skills With Public, communicational, communicational skills, communications, communications skills, communicative skills, excellent communication, Excellent communication skills, good communication, strong communicator\",      \"FormattedName\" : \"Communication\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"SoftSkill\",      \"Skill\" : \"Communication\",      \"Ontology\" : \"Management of Companies and Enterprises>Managers, All Other>Communication\",      \"Alias\" : \"ability to communicate, ability to effectively communicate, ability to interact effectively, able to communicate, Communicaitons, communicate effectively, Communicate Effectively With Customers, Communicate Effectively With Guests, communicating, communicating effectively, Communicating With Persons Outside, communication abilities, communication skill, communication skills, Communication Skills With Public, communicational, communicational skills, communications, communications skills, communicative skills, excellent communication, Excellent communication skills, good communication, strong communicator\",      \"FormattedName\" : \"Communication\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"SoftSkill\",      \"Skill\" : \"Presentations\",      \"Ontology\" : \"Management of Companies and Enterprises>Management Occupations>Presentation\",      \"Alias\" : \"Presentation Capabilities, presentation skills, presentations, presentations skills, presenting skills\",      \"FormattedName\" : \"Presentation\",      \"Evidence\" : \"ExperienceSection\",      \"LastUsed\" : \"31/12/2003\",      \"ExperienceInMonths\" : 48    }, {      \"Type\" : \"SoftSkill\",      \"Skill\" : \"Examinations\",      \"Ontology\" : \"Management of Companies and Enterprises>Managers, All Other>Analysis\",      \"Alias\" : \"analysing, Examination, examinations\",      \"FormattedName\" : \"Analysis\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Preparing Blood Samples For Laboratory Tests\",      \"Ontology\" : \"Health Care and Social Assistance>Phlebotomists>Blood Testing\",      \"Alias\" : \"automated blood analysis, blood analysis, Blood Samples, Blood test, blood work, Blood-Samples, Blood-Testing, hcv test, Hcv Testing, Hcv Antibody Test, Preparing blood samples for laboratory tests\",      \"FormattedName\" : \"Blood Testing\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Giving Patients Injections Or Medications\",      \"Ontology\" : \"Health Care and Social Assistance>Medical Assistants>Giving Injections\",      \"Alias\" : \"Giving patients injections, giving patients injections or medications\",      \"FormattedName\" : \"Giving Injections\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Preparing Patients For Examination\",      \"Ontology\" : \"Health Care and Social Assistance>Health Diagnosing and Treating Practitioners>Physical Examination\",      \"Alias\" : \"assisting with exams and treatment, Child Abuse Exam, clinical examination, Examination Physical, Examining Patients, Examining Patients to Assess Their Condition, health examination, medical examination, patient examination, Physical Analysis, Physical assessment, physical checks, Physical Conditions Assessment, physical diagnosis, Physical Test, Physical Testing, physical tests, Physical-Analysis, physical-examination, Physical-Test, Physical-Testing, Preparing Patients For Examination, Testing Physical\",      \"FormattedName\" : \"Physical Examination\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Diagnose and Treat Human Injuries\",      \"Ontology\" : \"Health Care and Social Assistance>Healthcare Support Workers, All Other>Diagnose and Treat Human Injuries\",      \"Alias\" : \"Diagnose and Treat Human-Injuries, Diagnose-And Treat Human-Injuries\",      \"FormattedName\" : \"Diagnose and Treat Human Injuries\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Scheduling Patient Appointments\",      \"Ontology\" : \"Health Care and Social Assistance>Medical Assistants>Patient Scheduling\",      \"Alias\" : \"medical appointment scheduling, Medical Scheduling, Medical-Scheduling, Patient Scheduling process, Patient-Scheduling, scheduling patient appointments\",      \"FormattedName\" : \"Patient Scheduling\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Interpreting Medical Research\",      \"Ontology\" : \"Administrative and Support and Waste Management and Remediation Services>Medical Secretaries>Medical Translation\",      \"Alias\" : \"Interpreting Medical Research, Medical Interpretation, Medical Interpreting, Medical-Interpreting\",      \"FormattedName\" : \"Medical Translation\",      \"Evidence\" : \"ExperienceSection\",      \"LastUsed\" : \"31/12/2016\",      \"ExperienceInMonths\" : 48    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Market Research and Analysis\",      \"Ontology\" : \"Finance and Insurance>Market Research Analysts and Marketing Specialists>Market Research\",      \"Alias\" : \"Brand research, Branding Research, Branding-Research, Design Market Research, Designing Marketing Surveys, financial market research, Implement Market Research, Interpreting Marketing Research, Market Data Research, Market Exploration, market information research, Market Investigation, Market Research and Analysis, Market Research Data, market research management, Market Research Operations, Market Scanning, Market Studies, Market Study, Market Survey, Market Surveys, Market-Exploration, Market-Investigation, Market-Research, Marketing Data Research, Marketing information research, Marketing Internet Research, Marketing Investigation, Marketing Investigations, Marketing Original Research, Marketing Research, marketing research analysis, marketing research development, Marketing Researching, Marketing Scanning, marketing survey, marketing surveys, Marketing-Research, Marketing-Researching, Media Market Research, Online Market Research, Perform Market Research, Performing Market Research, Product Research, Product-Research, Research Branding, Research Market, researching market, researching market trends, researching the market, researching the markets, Retail Market Research, Sales Market Research, Scanning Marketing, setting up market surveys, Social Media Market Research, Social-Media Market Research, Social-Media-Market Research, Social-Media-Market-Research, Undertake Market Research\",      \"FormattedName\" : \"Market Research\",      \"Evidence\" : \"ExperienceSection\",      \"LastUsed\" : \"31/12/2003\",      \"ExperienceInMonths\" : 48    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Maintaining Medical Records\",      \"Ontology\" : \"Health Care and Social Assistance>Medical Records and Health Information Technicians>Patient Records Management\",      \"Alias\" : \"Handling Of Medical Records, Health Record Management, Health Record mgmt, Health Records Management, Health Records mgmt, Maintaining Health Record, Maintaining Health Records, Maintaining Health- Records, maintaining medical records, Maintaining patient records, Medical Chart Management, Medical Chart mgmt, Medical Record Management, medical record management system, Medical Record mgmt, medical records control, Medical Records Maintenance, Medical records management, medical records management system, medical-records control, Patient Records Mgmt., Patient-Records Management, Patient-Records-Management\",      \"FormattedName\" : \"Patient Records Management\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Clinical Research\",      \"Ontology\" : \"Health Care and Social Assistance>Medical and Clinical Laboratory Technologists>Clinical Research\",      \"Alias\" : \"analyse a clinical trial, analysis of clinical trials, apply medical research techniques, carry out health-related research, carry out medical research, clinical research operations, Clinical Research Pharmacy, Clinical Testing, Clinical Trial Analysis, clinical trial data analysis, Clinical-Research, Clinical-Testing, Clinical-Trial-Analysis, Conduct Health Related Research, conduct health-related research, conduct medical research, Conduct-Health Related Research, Conduct-Health- Related Research, Critical Care Research, health care research, health research, Health Services Research, health systems research, Healthcare Research, Healthcare Research and Analytics, Medical Research\",      \"FormattedName\" : \"Clinical Research\",      \"Evidence\" : \"ExperienceSection\",      \"LastUsed\" : \"31/12/2016\",      \"ExperienceInMonths\" : 48    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Medical Research\",      \"Ontology\" : \"Health Care and Social Assistance>Medical and Clinical Laboratory Technologists>Clinical Research\",      \"Alias\" : \"analyse a clinical trial, analysis of clinical trials, apply medical research techniques, carry out health-related research, carry out medical research, clinical research operations, Clinical Research Pharmacy, Clinical Testing, Clinical Trial Analysis, clinical trial data analysis, Clinical-Research, Clinical-Testing, Clinical-Trial-Analysis, Conduct Health Related Research, conduct health-related research, conduct medical research, Conduct-Health Related Research, Conduct-Health- Related Research, Critical Care Research, health care research, health research, Health Services Research, health systems research, Healthcare Research, Healthcare Research and Analytics, Medical Research\",      \"FormattedName\" : \"Clinical Research\",      \"Evidence\" : \"ExperienceSection\",      \"LastUsed\" : \"31/12/2016\",      \"ExperienceInMonths\" : 48    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Drawing Blood\",      \"Ontology\" : \"Health Care and Social Assistance>Phlebotomists>Phlebotomy\",      \"Alias\" : \"blood collection, Blood draw, Blood Drawing, Blood Drawing Procedures, Blood-Drawing, Blood-Drawing-Procedures, Clinical Laboratory Phlebotomy, Drawing Blood, Drawing of Blood, Procedures Drawing Blood, therapeutic phlebotomy, venepuncture, Veni Puncture, Veni-Puncture, venipuncture, Withdrawal of Blood Samples\",      \"FormattedName\" : \"Phlebotomy\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"PowerPoint\",      \"Ontology\" : \"Management of Companies and Enterprises>General and Operations Managers>Presentation Software>Microsoft PowerPoint\",      \"Alias\" : \"Microsoft Power Point, Microsoft PowerPoint 10.0, Microsoft PowerPoint 11.0, Microsoft PowerPoint 12.0, Microsoft PowerPoint 14.0, Microsoft PowerPoint 15.0, Microsoft PowerPoint 16.0, Microsoft PowerPoint 2.0, Microsoft Powerpoint 2000, Microsoft Powerpoint 2002, Microsoft Powerpoint 2003, Microsoft Powerpoint 2004 For Mac, Microsoft Powerpoint 2010, Microsoft PowerPoint 3.0, Microsoft PowerPoint 4.0, Microsoft PowerPoint 7.0, Microsoft PowerPoint 8.0, Microsoft PowerPoint 9.0, Microsoft Powerpoint 97, Microsoft Powerpoint 97 For Windows, Microsoft PowerPoint presentation software, Microsoft PowerPoint Soft., Microsoft PowerPoint Software, Microsoft PPT, Microsoft-PowerPoint, MS Power Point, Ms Powerpoint, ms PowerPoint 10.0, ms PowerPoint 11.0, ms PowerPoint 12.0, ms PowerPoint 14.0, ms PowerPoint 15.0, ms PowerPoint 16.0, ms PowerPoint 2.0, Ms Powerpoint 2000, Ms Powerpoint 2002, Ms Powerpoint 2003, Ms Powerpoint 2004, ms PowerPoint 3.0, ms PowerPoint 4.0, ms PowerPoint 7.0, ms PowerPoint 8.0, ms PowerPoint 9.0, Ms Powerpoint soft, Ms Powerpoint software, MS-PowerPoint, MSPowerPoint, Power Point, Power-Point, Powerpoint, PowerPoint 10.0, PowerPoint 11.0, PowerPoint 12.0, PowerPoint 14.0, PowerPoint 15.0, PowerPoint 16.0, PowerPoint 2.0, Powerpoint 2000, Powerpoint 2002, Powerpoint 2003, Powerpoint 2004 For Mac, PowerPoint 2010, PowerPoint 2011, PowerPoint 3.0, PowerPoint 4.0, PowerPoint 7.0, PowerPoint 8.0, PowerPoint 9.0, PowerPoint 95, PowerPoint 97, PowerPoint development, PowerPoint Internet Software, powerpoint skills, PPT\",      \"FormattedName\" : \"Microsoft PowerPoint\",      \"Evidence\" : \"ExperienceSection\",      \"LastUsed\" : \"31/12/2003\",      \"ExperienceInMonths\" : 48    }, {      \"Type\" : \"OperationalSkill\",      \"Skill\" : \"Dentistry\",      \"Ontology\" : \"Health Care and Social Assistance>Dentists, General>Dentistry\",      \"Alias\" : \"Basic dental education, Dental and Oral Medicine, Dental Education, Dental Industry, Dental Studies, Dental Technology, Dental Treatment, Dental-Treatment, Dentist Science, dentist skills, dentistry science, Family Dentistry, Family-Dentistry, Knowledge On Dentistry, Science Of Dentistry, stomatology\",      \"FormattedName\" : \"Dentistry\",      \"Evidence\" : \"SkillSection\",      \"LastUsed\" : \"\",      \"ExperienceInMonths\" : 0    } ],    \"Experience\" : \"7/2016 - 12/2017 - Henry Ford Hospital, Detroit, MI, USA - Cardiologist \\r Examine patients and assess their condition. \\r Give health advice to patients. \\r  \\r 2013 - 2016\\t - Allegiance Health, Detroit, MI \\r Hospitalist, Clinical Decision Unit Physician \\r Methodology, Clinical Research, Medical Research, Interpreting Medical Research \\r  \\r 2003 - 2005 \\t - Kaplan Inc. Hanover, NJ \\r Tutor, classroom teacher for MCAT and SAT preparatory courses \\r  \\r 2003 - 2005\\t - Estelle Finkel Associates, Livingston, NJ \\r Tutor, High School students for Advanced Placement science / math exams \\r  \\r 2000-2003\\t - Market Measures, Intern. Livingston, NJ \\r Created PowerPoint presentations for this market research and analysis firm \\r  \\r 1999 - 2000\\t - Yale University, Tutor. New Haven, CT \\r Tutor for students in Italian language courses\",    \"SegregatedExperience\" : [ {      \"Employer\" : {        \"EmployerName\" : \"Henry Ford Hospital\",        \"FormattedName\" : \"Henry Ford Hospital\",        \"ConfidenceScore\" : 10      },      \"JobProfile\" : {        \"Title\" : \"Cardiologist\",        \"FormattedName\" : \"Cardiologist\",        \"Alias\" : \"Cardiologist Doctor, Cardiology Specialist, Cardiovascular Disease Specialist, Cardiovascular Specialist, Cardiovascular Surgical Tech, DM Cardiologist, Manager, Noninvasive Cardiology Services, Manager, Nonivasive Cardiology, Non Invasive Cardiologist, Non-Invasive Cardiologist\",        \"Ontology\" : \"Health Care and Social Assistance>Cardiovascular Technologists and Technicians>Cardiologist\",        \"RelatedSkills\" : [ {          \"Skill\" : \"Cardiology\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Cardiac Monitoring\",          \"ProficiencyLevel\" : \"Proficient\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Health Advocacy\",          \"ProficiencyLevel\" : \"Native\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Therapy\",          \"ProficiencyLevel\" : \"Proficient\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Patient Administration\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        } ],        \"ConfidenceScore\" : 10      },      \"Location\" : {        \"City\" : \"Detroit\",        \"State\" : \"MI\",        \"StateIsoCode\" : \"US-MI\",        \"Country\" : \"USA\",        \"CountryCode\" : {          \"IsoAlpha2\" : \"US\",          \"IsoAlpha3\" : \"USA\",          \"UNCode\" : \"840\"        }      },      \"JobPeriod\" : \"7/2016 - 12/2017\",      \"FormattedJobPeriod\" : \"07/2016 to 12/2017\",      \"StartDate\" : \"01/07/2016\",      \"EndDate\" : \"31/12/2017\",      \"IsCurrentEmployer\" : \"false\",      \"JobDescription\" : \"Examine patients and assess their condition. \\n Give health advice to patients.\",      \"Projects\" : [ {        \"UsedSkills\" : \"\",        \"ProjectName\" : \"\",        \"TeamSize\" : \"\"      } ]    }, {      \"Employer\" : {        \"EmployerName\" : \"Allegiance Health\",        \"FormattedName\" : \"Allegiance Health\",        \"ConfidenceScore\" : 10      },      \"JobProfile\" : {        \"Title\" : \"Hospitalist, Clinical Decision Unit Physician\",        \"FormattedName\" : \"Physician\",        \"Alias\" : \"Clinical Physician, Clinical Provider, Doctor, Doctor Hospital, Examining Doctor, General Doc, General Physician, health physician, Healthcare Physicians, Hospital Doctor, Hospital Physician, Md Doctor, Medical Doctor, Medical Doctor , Medical practitioner, Medical Staff Physician, Medical Treatment Provider, Physician Practice, Physicians, Private Doctor, Process Physician, Specialized Doctor\",        \"Ontology\" : \"Health Care and Social Assistance>Physicians and Surgeons>Physician\",        \"RelatedSkills\" : [ {          \"Skill\" : \"Hospice Care\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Health Advocacy\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Physical Medicine and Rehabilitation\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Health Monitoring\",          \"ProficiencyLevel\" : \"Proficient\",          \"SkillType\" : \"Knowledge\"        } ],        \"ConfidenceScore\" : 8      },      \"Location\" : {        \"City\" : \"Detroit\",        \"State\" : \"MI\",        \"StateIsoCode\" : \"US-MI\",        \"Country\" : \"USA\",        \"CountryCode\" : {          \"IsoAlpha2\" : \"US\",          \"IsoAlpha3\" : \"USA\",          \"UNCode\" : \"840\"        }      },      \"JobPeriod\" : \"2013 - 2016\",      \"FormattedJobPeriod\" : \"2013 to 2016\",      \"StartDate\" : \"01/01/2013\",      \"EndDate\" : \"31/12/2016\",      \"IsCurrentEmployer\" : \"false\",      \"JobDescription\" : \"Methodology, Clinical Research, Medical Research, Interpreting Medical Research\",      \"Projects\" : [ {        \"UsedSkills\" : \"\",        \"ProjectName\" : \"\",        \"TeamSize\" : \"\"      } ]    }, {      \"Employer\" : {        \"EmployerName\" : \"Kaplan Inc\",        \"FormattedName\" : \"Kaplan\",        \"ConfidenceScore\" : 10      },      \"JobProfile\" : {        \"Title\" : \"Tutor\",        \"FormattedName\" : \"Tutor\",        \"Alias\" : \"Class Tutor, Classroom Tutor, Commercial Tutor, Course Tutor, Education Tutor, Educational Tutor, General Tutor, Home Tutor, Homework Tutor, Literature Tutor, Pedagogical Tutor, Private Tutor, School Program Tutor, school tutor, Student Tutor, Subject Tutor, Test Preparation Tutor, Tuition Teacher, Tutoring Expert, Youth Tutor\",        \"Ontology\" : \"Educational Services>Other Teachers and Instructors>Tutor\",        \"RelatedSkills\" : [ {          \"Skill\" : \"Student Engagement\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Private Tutoring\",          \"ProficiencyLevel\" : \"Native\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Technical Knowledge\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Tutor Students\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge/Skills/Abilities\"        }, {          \"Skill\" : \"Active listening\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Soft\"        }, {          \"Skill\" : \"Empathy\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Soft\"        }, {          \"Skill\" : \"Positive Thinking\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Behavioural\"        } ],        \"ConfidenceScore\" : 10      },      \"Location\" : {        \"City\" : \"Hanover\",        \"State\" : \"NJ\",        \"StateIsoCode\" : \"US-NJ\",        \"Country\" : \"USA\",        \"CountryCode\" : {          \"IsoAlpha2\" : \"US\",          \"IsoAlpha3\" : \"USA\",          \"UNCode\" : \"840\"        }      },      \"JobPeriod\" : \"2003 - 2005\",      \"FormattedJobPeriod\" : \"2003 to 2005\",      \"StartDate\" : \"01/01/2003\",      \"EndDate\" : \"31/12/2005\",      \"IsCurrentEmployer\" : \"false\",      \"JobDescription\" : \"\",      \"Projects\" : [ {        \"UsedSkills\" : \"\",        \"ProjectName\" : \"\",        \"TeamSize\" : \"\"      } ]    }, {      \"Employer\" : {        \"EmployerName\" : \"Estelle Finkel Associates\",        \"FormattedName\" : \"Estelle Finkel Associates\",        \"ConfidenceScore\" : 10      },      \"JobProfile\" : {        \"Title\" : \"Tutor, High School students\",        \"FormattedName\" : \"Tutor\",        \"Alias\" : \"Class Tutor, Classroom Tutor, Commercial Tutor, Course Tutor, Education Tutor, Educational Tutor, General Tutor, Home Tutor, Homework Tutor, Literature Tutor, Pedagogical Tutor, Private Tutor, School Program Tutor, school tutor, Student Tutor, Subject Tutor, Test Preparation Tutor, Tuition Teacher, Tutoring Expert, Youth Tutor\",        \"Ontology\" : \"Educational Services>Other Teachers and Instructors>Tutor\",        \"RelatedSkills\" : [ {          \"Skill\" : \"Student Engagement\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Private Tutoring\",          \"ProficiencyLevel\" : \"Native\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Technical Knowledge\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Tutor Students\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge/Skills/Abilities\"        }, {          \"Skill\" : \"Active listening\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Soft\"        }, {          \"Skill\" : \"Empathy\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Soft\"        }, {          \"Skill\" : \"Positive Thinking\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Behavioural\"        } ],        \"ConfidenceScore\" : 10      },      \"Location\" : {        \"City\" : \"Livingston\",        \"State\" : \"NJ\",        \"StateIsoCode\" : \"US-NJ\",        \"Country\" : \"USA\",        \"CountryCode\" : {          \"IsoAlpha2\" : \"US\",          \"IsoAlpha3\" : \"USA\",          \"UNCode\" : \"840\"        }      },      \"JobPeriod\" : \"2003 - 2005\",      \"FormattedJobPeriod\" : \"2003 to 2005\",      \"StartDate\" : \"01/01/2003\",      \"EndDate\" : \"31/12/2005\",      \"IsCurrentEmployer\" : \"false\",      \"JobDescription\" : \"\",      \"Projects\" : [ {        \"UsedSkills\" : \"\",        \"ProjectName\" : \"\",        \"TeamSize\" : \"\"      } ]    }, {      \"Employer\" : {        \"EmployerName\" : \"Market Measures\",        \"FormattedName\" : \"Market Measures\",        \"ConfidenceScore\" : 10      },      \"JobProfile\" : {        \"Title\" : \"Intern\",        \"FormattedName\" : \"Intern\",        \"Alias\" : \"Assistant Intern, Attendant Intern, College Intern, Department Intern, Experience Intern, general intern, Interim Trainee, Intern - Assistant, Intern - Candidate, Intern - Corporate, Intern - Department, Intern - Employee, Intern / Trainee, Intern Assistant, Internship Fellow, Internship Trainee, Internships Student Intern, Professional Trainee, Sector Intern, Student Intern, Summer Intern, Summer-intern, Trainee\",        \"Ontology\" : \"Management of Companies and Enterprises>Other Management Occupations>Intern\",        \"RelatedSkills\" : [ {          \"Skill\" : \"Data Capture\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge/Skills/Abilities\"        }, {          \"Skill\" : \"Research\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Soft\"        } ],        \"ConfidenceScore\" : 10      },      \"Location\" : {        \"City\" : \"Livingston\",        \"State\" : \"NJ\",        \"StateIsoCode\" : \"US-NJ\",        \"Country\" : \"USA\",        \"CountryCode\" : {          \"IsoAlpha2\" : \"US\",          \"IsoAlpha3\" : \"USA\",          \"UNCode\" : \"840\"        }      },      \"JobPeriod\" : \"2000-2003\",      \"FormattedJobPeriod\" : \"2000 to 2003\",      \"StartDate\" : \"01/01/2000\",      \"EndDate\" : \"31/12/2003\",      \"IsCurrentEmployer\" : \"false\",      \"JobDescription\" : \"Created PowerPoint presentations for this market research and analysis firm\",      \"Projects\" : [ {        \"UsedSkills\" : \"\",        \"ProjectName\" : \"\",        \"TeamSize\" : \"\"      } ]    }, {      \"Employer\" : {        \"EmployerName\" : \"Yale University\",        \"FormattedName\" : \"Yale University\",        \"ConfidenceScore\" : 10      },      \"JobProfile\" : {        \"Title\" : \"Tutor\",        \"FormattedName\" : \"Tutor\",        \"Alias\" : \"Class Tutor, Classroom Tutor, Commercial Tutor, Course Tutor, Education Tutor, Educational Tutor, General Tutor, Home Tutor, Homework Tutor, Literature Tutor, Pedagogical Tutor, Private Tutor, School Program Tutor, school tutor, Student Tutor, Subject Tutor, Test Preparation Tutor, Tuition Teacher, Tutoring Expert, Youth Tutor\",        \"Ontology\" : \"Educational Services>Other Teachers and Instructors>Tutor\",        \"RelatedSkills\" : [ {          \"Skill\" : \"Student Engagement\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Private Tutoring\",          \"ProficiencyLevel\" : \"Native\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Technical Knowledge\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge\"        }, {          \"Skill\" : \"Tutor Students\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Knowledge/Skills/Abilities\"        }, {          \"Skill\" : \"Active listening\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Soft\"        }, {          \"Skill\" : \"Empathy\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Soft\"        }, {          \"Skill\" : \"Positive Thinking\",          \"ProficiencyLevel\" : \"Moderate\",          \"SkillType\" : \"Behavioural\"        } ],        \"ConfidenceScore\" : 10      },      \"Location\" : {        \"City\" : \"New Haven\",        \"State\" : \"CT\",        \"StateIsoCode\" : \"US-CT\",        \"Country\" : \"USA\",        \"CountryCode\" : {          \"IsoAlpha2\" : \"US\",          \"IsoAlpha3\" : \"USA\",          \"UNCode\" : \"840\"        }      },      \"JobPeriod\" : \"1999 - 2000\",      \"FormattedJobPeriod\" : \"1999 to 2000\",      \"StartDate\" : \"01/01/1999\",      \"EndDate\" : \"31/12/2000\",      \"IsCurrentEmployer\" : \"false\",      \"JobDescription\" : \"Tutor for students in Italian language courses\",      \"Projects\" : [ {        \"UsedSkills\" : \"\",        \"ProjectName\" : \"\",        \"TeamSize\" : \"\"      } ]    } ],    \"CurrentEmployer\" : \"Henry Ford Hospital\",    \"JobProfile\" : \"Cardiologist\",    \"WorkedPeriod\" : {      \"TotalExperienceInMonths\" : \"144\",      \"TotalExperienceInYear\" : \"12.0\",      \"TotalExperienceRange\" : \"GREATER THAN 10 YEAR\"    },    \"GapPeriod\" : \"1/2006 To 12/2012\",    \"AverageStay\" : \"28\",    \"LongestStay\" : \"48\",    \"Summary\" : \"\",    \"ExecutiveSummary\" : \"John has an experience in the domain of 'Health Care and Social Assistance', particularly in the sub-domain of 'Cardiovascular Technologists and Technicians. The candidate has been working as a Cardiologist at Henry Ford Hospital for the last 1.6 years. \",    \"ManagementSummary\" : \"John doesn't have any management level experience in the resume.\",    \"Coverletter\" : \"\",    \"Publication\" : \"Peer Reviewed Journal Articles :  \\r Tiberio M Frisoli, Michele Voeltz. Structural Heart Disease Monograph in Clinical Updates in Women's HealthCare. American College of Obstetricians and Gynecologists.  \\r  \\r Greenbaum AB, Frisoli TM. Editorial : Surgical vs Transcatheter Paravalvular Leak Repair. JACC : Interventions; Accepted, in press\",    \"SegregatedPublication\" : [ {      \"PublicationTitle\" : \"\",      \"Publisher\" : \"\",      \"PublicationNumber\" : \"\",      \"PublicationUrl\" : \"\",      \"Authors\" : \"\",      \"Description\" : \"\"    } ],    \"CurrentLocation\" : [ {      \"City\" : \"Detroit\",      \"State\" : \"MI\",      \"StateIsoCode\" : \"US-MI\",      \"Country\" : \"USA\",      \"CountryCode\" : {        \"IsoAlpha2\" : \"US\",        \"IsoAlpha3\" : \"USA\",        \"UNCode\" : \"840\"      }    } ],    \"PreferredLocation\" : [ {      \"City\" : \"Chicago\",      \"State\" : \"IL\",      \"StateIsoCode\" : \"US-IL\",      \"Country\" : \"USA\",      \"CountryCode\" : {        \"IsoAlpha2\" : \"US\",        \"IsoAlpha3\" : \"USA\",        \"UNCode\" : \"840\"      }    } ],    \"Availability\" : \"1 Month\",    \"Hobbies\" : \"Travel, Soccer / Tennis / Basketball, Opera, Cooking, Winemaking\",    \"Objectives\" : \"Motivated Board-Certified Hospitalist seeking gainful employment \\r within an outpatient adult medical practice. Experienced in working in diverse \\r healthcare settings. Able to work on own initiative and as part of a team. Dedicated to \\r maintaining quality medical practice standards.\",    \"Achievements\" : \"Associated with Medical- Resident of the Year Award - NYU Department of Medicine 2013 \\r Volunteer Service Award - NYU Department of Medicine 2012 \\r Intern of the Year Award - NYU Department of Medicine 2011\",    \"SegregatedAchievement\" : [ {      \"AwardTitle\" : \"Associated with Medical- Resident of the Year Award\",      \"Issuer\" : \"NYU Department of Medicine\",      \"AssociatedWith\" : \"\",      \"IssuingDate\" : \"31/12/2013\",      \"Description\" : \"Associated with Medical- Resident of the Year Award - NYU Department of Medicine   \"    }, {      \"AwardTitle\" : \"Volunteer Service Award\",      \"Issuer\" : \"NYU Department of Medicine\",      \"AssociatedWith\" : \"\",      \"IssuingDate\" : \"31/12/2012\",      \"Description\" : \" Volunteer Service Award - NYU Department of Medicine   \"    }, {      \"AwardTitle\" : \"Intern of the Year Award\",      \"Issuer\" : \"NYU Department of Medicine\",      \"AssociatedWith\" : \"\",      \"IssuingDate\" : \"31/12/2011\",      \"Description\" : \" Intern of the Year Award - NYU Department of Medicine  \"    } ],    \"References\" : \"Dean Dobbert, MD \\r Supervising physician, Express Care; Dover, DE \\r dedobbert@christianacare.org \\r 302-236-7313  \\r Benjamin Levy, DO \\r Supervising physician, Dover AFB; Dover, DE \\r ben.s.levy@gmail.com \\r 612-508-9554  \\r Tom Barnett, MD \\r Supervising physician, Surgical Associates; Dover, DE \\r 302-674-0600\",    \"CustomFields\" : \"Parsing Time : 4649ms\",    \"EmailInfo\" : {      \"EmailTo\" : \" \",      \"EmailBody\" : \" \",      \"EmailReplyTo\" : \" \",      \"EmailSignature\" : \" \",      \"EmailFrom\" : \" \",      \"EmailSubject\" : \" \",      \"EmailCC\" : \" \"    },    \"Recommendations\" : [ {      \"PersonName\" : \"\",      \"CompanyName\" : \"\",      \"Relation\" : \"\",      \"PositionTitle\" : \"\",      \"Description\" : \"\"    } ],    \"DetailResume\" : \"John Deo\\n\\nAddress\\t\\t\\n2915 John R St. Apt 306\\t\\t\\t  \\t\\t\\t\\nDetroit, MI USA 48201\\n\\nPermanent Address\\n180 N Jefferson St. Apt 2703\\nChicago, IL USA 60661\\t\\n\\t\\t\\nContact Information\\t\\t\\nMobile : 1234567890\\t  \\t\\t\\nPhone : 200-600-3000\\nFax : +1-212-9876000\\t\\t\\nEmail : Johndeo@rchilli.com\\n  John75@xyz.com\\n\\nLinkedIn ID\\nUrl : https://www.linkedin.com/Johndeo/\\nFacebook ID\\nUrl : https://www.facebook.com/Johndeo \\nTwitter ID\\nUrl : https://twitter.com/Johndeo \\nhttps://www.facebook.com/olek.szadkowski\\n\\t\\t\\n\\t\\t\\n\\nObjective\\nMotivated Board-Certified Hospitalist seeking gainful employment\\nwithin an outpatient adult medical practice. Experienced in working in diverse\\nhealthcare settings. Able to work on own initiative and as part of a team. Dedicated to\\nmaintaining quality medical practice standards.\\n\\nSkills\\nGood communication skills are essential for interventional cardiologists. As their work is physically intricate, so must be their communication with other medical personnel as they perform complex cardiac procedures. These cardiologists must also explain the procedures to their patients in language they can understand. Pre- and post-catheterization care of patients involves communication skills being used by cardiologists for evaluations and explanations.\\nMedicine and Dentistry - Knowledge of the information and techniques needed to diagnose and treat human injuries, diseases, and deformities. This includes symptoms, treatment alternatives, drug properties and interactions, and preventive health-care measures.\\nScheduling patient appointments\\nMaintaining medical records, and billing and coding information for insurance\\nPreparing patients for examination\\nHelping physicians with patient examinations\\nTaking and recording vital signs, such as blood pressure\\nDrawing blood\\nPreparing blood samples for laboratory tests\\nGiving patients injections or medications as directed by a physician (in some states) \\n\\nEducation and Training\\n2005 - 2009 \\t- St. George's University School of Medicine, New Haven, CT, USA\\n\\t  - St. George's School of Medicine, New Haven, CT, USA\\n- Doctor of Medicine degree, 3.5 CGPA\\n\\n1998 - 2002\\t- Yale University, New Haven, CT, USA\\n\\t\\t  \\t- Bachelor of Science 3.97 CGPA \\n\\t  Molecular, Cellular and Developmental Biology\\n\\n1997 - 1998\\t  - Secondary Education, Carnegie Vanguard High School, Houston, Texas, USA\\n\\t  \\n\\nHonors and Awards\\nAssociated with Medical- Resident of the Year Award - NYU Department of Medicine 2013\\nVolunteer Service Award - NYU Department of Medicine 2012\\nIntern of the Year Award - NYU Department of Medicine 2011\\n\\nCertification\\nOct 2016\\t  - National Board Certification by NCCPA. Expire 2020\\nJune 2017\\t  -Certified in Gerontology, DE County Community College, Expire 07/2025\\n\\nPublications\\nPeer Reviewed Journal Articles : \\nTiberio M Frisoli, Michele Voeltz. Structural Heart Disease Monograph in Clinical Updates in Women's HealthCare. American College of Obstetricians and Gynecologists. \\n\\nGreenbaum AB, Frisoli TM. Editorial : Surgical vs Transcatheter Paravalvular Leak Repair. JACC : Interventions; Accepted, in press\\n\\nWork Experience\\n7/2016 - 12/2017 - Henry Ford Hospital, Detroit, MI, USA - Cardiologist\\nExamine patients and assess their condition.\\nGive health advice to patients.\\n\\n2013 - 2016\\t - Allegiance Health, Detroit, MI\\nHospitalist, Clinical Decision Unit Physician\\nMethodology, Clinical Research, Medical Research, Interpreting Medical Research\\n\\n2003 - 2005 \\t - Kaplan Inc. Hanover, NJ\\nTutor, classroom teacher for MCAT and SAT preparatory courses\\n\\n2003 - 2005\\t - Estelle Finkel Associates, Livingston, NJ\\nTutor, High School students for Advanced Placement science/math exams\\n\\n2000-2003\\t - Market Measures, Intern. Livingston, NJ\\nCreated PowerPoint presentations for this market research and analysis firm\\n\\n1999 - 2000\\t - Yale University, Tutor. New Haven, CT\\nTutor for students in Italian language courses\\n\\nLanguages\\nLanguages : Italian (fluent) \\nSpanish (proficient) \\nFrench (proficient) \\n\\nHobbies\\nTravel, Soccer/Tennis/Basketball, Opera, Cooking, Winemaking\\n\\nPersonal Data\\nFull Name : John Deo\\nDate of Birth : March 13 , 1980\\nMarital Status : Single\\nGender : Female\\nNationality : USA\\nFather Name : Charlene Deo\\nMother Name : Amanda Deo\\nVisa : J1\\nLicenses : USA Medical license\\nPassport Details\\nPassport Number : 31195884\\nDate of Issue : 18 Sept. 2008\\nExpiry Date : 5 June 2021\\nPlace of Issue : United states of America\\nPan No : ADPAR9789T\\nSocial Security No : 17946232\\nCurrent Location : Detroit, MI, USA\\nPreferred Location : Chicago, IL, USA\\nAvailability : 1 Month\\nCurrent Salary : US $ 276800 per year\\nExpected Salary : US $ 300000 per year\\n\\nReferences\\nDean Dobbert, MD\\nSupervising physician, Express Care; Dover, DE\\ndedobbert@christianacare.org\\n302-236-7313 \\nBenjamin Levy, DO\\nSupervising physician, Dover AFB; Dover, DE\\nben.s.levy@gmail.com\\n612-508-9554 \\nTom Barnett, MD\\nSupervising physician, Surgical Associates; Dover, DE\\n302-674-0600\",    \"HtmlResume\" : \"<html><head><meta http-equiv=\\\"Content-Type\\\" content=\\\"text/html; charset=utf-8\\\" /><meta http-equiv=\\\"Content-Style-Type\\\" content=\\\"text/css\\\" /><meta name=\\\"generator\\\" content=\\\"Aspose.Words for Java 22.9.0\\\" /><title>TIBERIO M</title></head><body style=\\\"font-family:'Times New Roman'; font-size:12pt\\\"><div><p style=\\\"margin-top:0pt; margin-bottom:0pt; text-align:center; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:16pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold\\\">John Deo</span></p><h1 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:normal; -aw-import:ignore\\\"> </span></h1><h1 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Address</span><span style=\\\"width:35.3pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></h1><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">2915 John R St. Apt 306</span><span style=\\\"width:2.36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"width:18.59pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Detroit, MI USA 48201</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold; text-decoration:underline\\\">Permanent Address</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">180 N Jefferson St. Apt 2703</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Chicago, IL USA 60661</span><span style=\\\"width:8.98pt; display:inline-block\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></p><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Contact Information</span><span style=\\\"width:15.36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></h2><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Mobile: 1234567890</span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"width:2.88pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Phone: 200-600-3000</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Fax: +1-212-9876000</span><span style=\\\"width:13.94pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt\\\"><span style=\\\"font-family:Calibri; font-size:11pt\\\">Email: </span><a href=\\\"mailto:Johndeo@rchilli.com\\\" style=\\\"text-decoration:none\\\"><span style=\\\"font-family:Calibri; font-size:11pt; text-decoration:underline; color:#0000ff\\\">Johndeo@rchilli.com</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt\\\"><a href=\\\"mailto:John75@xyz.com\\\" style=\\\"text-decoration:none\\\"><span style=\\\"font-family:Calibri; font-size:11pt; text-decoration:underline; color:#0000ff\\\">John75@xyz.com</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; color:#0000ff; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; color:#0000ff; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; color:#0000ff; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold\\\">LinkedIn ID</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Url: </span><a href=\\\"https://www.linkedin.com/Johndeo/\\\" style=\\\"text-decoration:none\\\"><span style=\\\"font-family:Calibri; text-decoration:underline; color:#0000ff\\\">https://www.linkedin.com/Johndeo/</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold\\\">Facebook ID</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Url: </span><a href=\\\"https://www.facebook.com/Johndeo%20\\\" style=\\\"text-decoration:none\\\"><span style=\\\"font-family:Arial; font-size:10pt; text-decoration:underline; color:#0000ff\\\">https://www.facebook.com/Johndeo </span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold\\\">Twitter ID</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Url: </span><a href=\\\"https://twitter.com/Johndeo%20\\\" style=\\\"text-decoration:none\\\"><span style=\\\"font-family:Arial; font-size:10pt; text-decoration:underline; color:#0000ff\\\">https://twitter.com/Johndeo </span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:10pt\\\"><span style=\\\"font-family:Arial; color:#263238\\\">https://www.facebook.com/olek.szadkowski</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"width:36pt; display:inline-block\\\"> </span></p><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></h2><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold; text-decoration:underline\\\">Objective</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Motivated Board-Certified Hospitalist seeking gainful employment</span><br /><span style=\\\"font-family:Calibri\\\">within an outpatient adult medical practice. Experienced in working in diverse</span><br /><span style=\\\"font-family:Calibri\\\">healthcare settings. Able to work on own initiative and as part of a team. Dedicated to</span><br /><span style=\\\"font-family:Calibri\\\">maintaining quality medical practice standards.</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Skills</span></h2><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; color:#222222; background-color:#ffffff\\\">Good communication skills are essential for interventional cardiologists. As their work is physically intricate, so must be their communication with other medical personnel as they perform complex cardiac procedures. These cardiologists must also explain the procedures to their patients in language they can understand. Pre- and post-catheterization care of patients involves communication skills being used by cardiologists for evaluations and explanations.</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; color:#333333; background-color:#ffffff\\\">Medicine and Dentistry - Knowledge of the information and techniques needed to diagnose and treat human injuries, diseases, and deformities. This includes symptoms, treatment alternatives, drug properties and interactions, and preventive health-care measures.</span></p><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Scheduling patient appointments</span></p></div><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Maintaining medical records, and billing and coding information for insurance</span></p></div><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Preparing patients for examination</span></p></div><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Helping physicians with patient examinations</span></p></div><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Taking and recording vital signs, such as blood pressure</span></p></div><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Drawing blood</span></p></div><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Preparing blood samples for laboratory tests</span></p></div><div style=\\\"margin-left:18pt; background-color:#ffffff\\\"><p style=\\\"margin-top:0pt; margin-left:18pt; margin-bottom:0pt; text-indent:-18pt; font-size:11pt; -aw-import:list-item; -aw-list-level-number:0; -aw-list-number-format:' '; -aw-list-number-styles:'bullet'; -aw-list-padding-sml:13.4pt\\\"><span style=\\\"-aw-import:ignore\\\"><span style=\\\"font-family:Symbol; font-size:10pt; color:#414042\\\"> </span><span style=\\\"width:13.4pt; font:7pt 'Times New Roman'; display:inline-block; -aw-import:spaces\\\"> </span></span><span style=\\\"font-family:Calibri; color:#414042\\\">Giving patients injections or medications as directed by a physician (in some states) </span></p></div><p style=\\\"margin-top:0pt; margin-bottom:0pt\\\"><span style=\\\"-aw-import:ignore\\\"> </span></p><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Education and Training</span></h2><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">2005 - 2009 </span><span style=\\\"width:16.57pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\">-- St. George's University School of Medicine, New Haven, CT, USA</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"font-family:Calibri\\\">-- St. George's School of Medicine, New Haven, CT, USA</span></p><p style=\\\"margin-top:0pt; margin-left:72pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">-- Doctor of Medicine degree, 3.5 CGPA</span></p><p style=\\\"margin-top:0pt; margin-left:72pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">1998 - 2002</span><span style=\\\"width:19.06pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\">-- Yale University, New Haven, CT, USA</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"width:36pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"width:28.54pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\">-- Bachelor of Science 3.97 CGPA </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"font-family:Calibri\\\">Molecular, Cellular and Developmental Biology</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">1997 - 1998</span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"font-family:Calibri\\\">-- Secondary Education, Carnegie Vanguard High School, Houston, Texas, USA</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span></p><p style=\\\"margin-top:0pt; margin-left:90pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></h2><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Honors and Awards</span></h2><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Associated with Medical- Resident of the Year Award - NYU Department of Medicine 2013</span><br /><span style=\\\"font-family:Calibri\\\">Volunteer Service Award - NYU Department of Medicine 2012</span><br /><span style=\\\"font-family:Calibri\\\">Intern of the Year Award - NYU Department of Medicine 2011</span><br /><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Certification</span></h2><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Oct 2016</span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"font-family:Calibri\\\">-- National Board Certification by NCCPA. Expire 2020</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">June 2017</span><span style=\\\"font-family:Calibri; -aw-import:spaces\\\"> </span><span style=\\\"font-family:Calibri\\\">--Certified in Gerontology, DE County Community College, Expire 07/2025</span><br /><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><h3 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Publications</span></h3><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Peer Reviewed Journal Articles</span><span style=\\\"font-family:Calibri\\\">:</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; text-indent:36pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold\\\">Tiberio M Frisoli</span><span style=\\\"font-family:Calibri\\\">, Michele Voeltz. Structural Heart Disease Monograph in </span><span style=\\\"font-family:Calibri; font-style:italic\\\">Clinical Updates in Women's HealthCare</span><span style=\\\"font-family:Calibri\\\">. American College of Obstetricians and Gynecologists. </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; text-indent:36pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; text-indent:36pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Greenbaum AB,</span><span style=\\\"font-family:Calibri; font-weight:bold\\\"> Frisoli TM. </span><span style=\\\"font-family:Calibri\\\">Editorial:</span><span style=\\\"font-family:Calibri; font-weight:bold\\\"> </span><span style=\\\"font-family:Calibri\\\">Surgical vs Transcatheter Paravalvular Leak Repair. </span><span style=\\\"font-family:Calibri; font-style:italic\\\">JACC: Interventions</span><span style=\\\"font-family:Calibri\\\">; Accepted, in press</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; text-indent:36pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold; text-decoration:underline\\\">Work Experience</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">7/2016 - 12/2017 -- Henry Ford Hospital, Detroit, MI, USA - Cardiologist</span></p><ul type=\\\"circle\\\" style=\\\"margin:0pt; padding-left:0pt\\\"><li style=\\\"margin-left:119.6pt; padding-left:6.4pt; font-family:serif; font-size:11pt; -aw-font-family:'Courier New'; -aw-font-weight:normal; -aw-number-format:'o'\\\"><span style=\\\"font-family:Calibri\\\">Examine patients and assess their condition.</span></li><li style=\\\"margin-left:119.6pt; padding-left:6.4pt; font-family:serif; font-size:11pt; -aw-font-family:'Courier New'; -aw-font-weight:normal; -aw-number-format:'o'\\\"><span style=\\\"font-family:Calibri\\\">Give health advice to patients.</span></li></ul><p style=\\\"margin-top:0pt; margin-left:126pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">2013 - 2016</span><span style=\\\"width:16.95pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\"> -- Allegiance Health, Detroit, MI</span></p><ul type=\\\"circle\\\" style=\\\"margin:0pt; padding-left:0pt\\\"><li style=\\\"margin-left:119.6pt; padding-left:6.4pt; font-family:serif; font-size:11pt; -aw-font-family:'Courier New'; -aw-font-weight:normal; -aw-number-format:'o'\\\"><span style=\\\"font-family:Calibri\\\">Hospitalist, Clinical Decision Unit Physician</span></li></ul><p style=\\\"margin-top:0pt; margin-left:36pt; margin-bottom:0pt; text-indent:36pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Methodology, Clinical Research, Medical Research, Interpreting Medical Research</span></p><p style=\\\"margin-top:0pt; margin-left:126pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">2003 - 2005 </span><span style=\\\"width:16.57pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\"> -- Kaplan Inc. Hanover, NJ</span></p><ul type=\\\"circle\\\" style=\\\"margin:0pt; padding-left:0pt\\\"><li style=\\\"margin-left:119.6pt; padding-left:6.4pt; font-family:serif; font-size:11pt; -aw-font-family:'Courier New'; -aw-font-weight:normal; -aw-number-format:'o'\\\"><span style=\\\"font-family:Calibri\\\">Tutor, classroom teacher for MCAT and SAT preparatory courses</span></li></ul><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">2003 - 2005</span><span style=\\\"width:19.06pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\"> -- Estelle Finkel Associates, Livingston, NJ</span></p><ul type=\\\"circle\\\" style=\\\"margin:0pt; padding-left:0pt\\\"><li style=\\\"margin-left:119.6pt; padding-left:6.4pt; font-family:serif; font-size:11pt; -aw-font-family:'Courier New'; -aw-font-weight:normal; -aw-number-format:'o'\\\"><span style=\\\"font-family:Calibri\\\">Tutor, High School students for Advanced Placement science / math exams</span></li></ul><p style=\\\"margin-top:0pt; margin-left:126pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">2000-2003</span><span style=\\\"width:24.03pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\"> -- Market Measures, Intern. Livingston, NJ</span></p><ul type=\\\"circle\\\" style=\\\"margin:0pt; padding-left:0pt\\\"><li style=\\\"margin-left:119.6pt; padding-left:6.4pt; font-family:serif; font-size:11pt; -aw-font-family:'Courier New'; -aw-font-weight:normal; -aw-number-format:'o'\\\"><span style=\\\"font-family:Calibri\\\">Created PowerPoint presentations for this market research and analysis firm</span></li></ul><p style=\\\"margin-top:0pt; margin-left:126pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">1999 - 2000</span><span style=\\\"width:19.06pt; display:inline-block\\\"> </span><span style=\\\"font-family:Calibri\\\"> -- Yale University, Tutor. New Haven, CT</span></p><ul type=\\\"circle\\\" style=\\\"margin:0pt; padding-left:0pt\\\"><li style=\\\"margin-left:119.6pt; padding-left:6.4pt; font-family:serif; font-size:11pt; -aw-font-family:'Courier New'; -aw-font-weight:normal; -aw-number-format:'o'\\\"><span style=\\\"font-family:Calibri\\\">Tutor for students in Italian language courses</span></li></ul><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><h2 style=\\\"margin-top:0pt; margin-bottom:0pt; page-break-after:avoid; font-size:11pt\\\"><span style=\\\"font-family:Calibri; text-decoration:underline\\\">Languages</span></h2><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Languages: Italian (fluent) </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Spanish (proficient) </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">French (proficient) </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold; text-decoration:underline\\\">Hobbies</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Travel, Soccer/Tennis/Basketball, Opera, Cooking, Winemaking</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; font-weight:bold; text-decoration:underline\\\">Personal Data</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Full Name: John Deo</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Date of Birth: March 13, 1980</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><a name=\\\"_Hlk20400214\\\"><span style=\\\"font-family:Calibri\\\">Marital Status: Single</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Gender: Female</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Nationality: USA</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"-aw-bookmark-end:_Hlk20400214\\\"></span><span style=\\\"font-family:Calibri\\\">Father Name: Charlene Deo</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Mother Name: Amanda Deo</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Visa: J1</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Licenses</span><span style=\\\"font-family:Calibri; font-weight:bold\\\">: </span><span style=\\\"font-family:Calibri\\\">USA Medical license</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><a name=\\\"_Hlk20400574\\\"><span style=\\\"font-family:Calibri\\\">Passport Details</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Passport Number: 31195884</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Date of Issue: 18 Sept. 2008</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Expiry Date: 5 June 2021</span><span style=\\\"-aw-bookmark-end:_Hlk20400574\\\"></span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><a name=\\\"_Hlk20400621\\\"><span style=\\\"font-family:Calibri\\\">Place of Issue: United states of America</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"-aw-bookmark-end:_Hlk20400621\\\"></span><span style=\\\"font-family:Calibri\\\">Pan No: ADPAR9789T</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Social Security No: 17946232</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><a name=\\\"_Hlk20400635\\\"><span style=\\\"font-family:Calibri\\\">Current Location: Detroit, MI, USA</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"-aw-bookmark-end:_Hlk20400635\\\"></span><span style=\\\"font-family:Calibri\\\">Preferred Location: Chicago, IL, USA</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Availability: 1 Month</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><a name=\\\"_Hlk20400679\\\"><span style=\\\"font-family:Calibri\\\">Current Salary: US $ 276800 per year</span></a></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri\\\">Expected Salary: US $ 300000 per year</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"-aw-bookmark-end:_Hlk20400679\\\"></span><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><a name=\\\"_Hlk20400734\\\"><span style=\\\"font-family:Calibri; font-weight:bold\\\">References</span></a><br /><span style=\\\"font-family:Calibri\\\">Dean Dobbert, MD</span><br /><span style=\\\"font-family:Calibri\\\">Supervising physician, Express Care; Dover, DE</span><br /><span style=\\\"font-family:Calibri\\\">dedobbert@christianacare.org</span><br /><span style=\\\"font-family:Calibri\\\">302-236-7313 </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><br /><span style=\\\"font-family:Calibri\\\">Benjamin Levy, DO</span><br /><span style=\\\"font-family:Calibri\\\">Supervising physician, Dover AFB; Dover, DE</span><br /><span style=\\\"font-family:Calibri\\\">ben.s.levy@gmail.com</span><br /><span style=\\\"font-family:Calibri\\\">612-508-9554 </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><br /><span style=\\\"font-family:Calibri\\\">Tom Barnett, MD</span><br /><span style=\\\"font-family:Calibri\\\">Supervising physician, Surgical Associates; Dover, DE</span><br /><span style=\\\"font-family:Calibri\\\">302-674-0600</span><br /><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; font-size:11pt\\\"><span style=\\\"font-family:Calibri; -aw-import:ignore\\\"> </span></p></div></body></html>\",    \"CandidateImage\" : {      \"CandidateImageData\" : \"\",      \"CandidateImageFormat\" : \"\"    },    \"TemplateOutput\" : {      \"TemplateOutputFileName\" : \"John Deo.pdf\",      \"TemplateOutputData\" : 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\"    },    \"ApiInfo\" : {      \"Metered\" : \"No\",      \"CreditLeft\" : \"995137\",      \"AccountExpiryDate\" : \"01/11/2029 23:59:00.0\",      \"BuildVersion\" : \"8.0.0.2022.11.18\"    }  },  \"Enrichment\" : [ {    \"FullcontactPersonalInfo\" : {      \"rchillienrichment\" : {        \"foursquareUrl\" : \"\",        \"githubUrl\" : \"\",        \"pinterestUrl\" : \"\",        \"jobProfile\" : \"\",        \"mediumUrl\" : \"\",        \"gender\" : \"\",        \"linkedinUrl\" : \"\",        \"twitterUrl\" : \"\",        \"angellistUrl\" : \"\",        \"fullName\" : \"\",        \"locale\" : \"\",        \"lastfmUrl\" : \"\",        \"quoraUrl\" : \"\",        \"webSite\" : [ \"\" ],        \"firstName\" : \"\",        \"facebookUrl\" : \"\",        \"flickrUrl\" : \"\",        \"hackernewsUrl\" : \"\",        \"keybaseUrl\" : \"\",        \"youtubeUrl\" : \"\",        \"company\" : \"\",        \"age\" : \"\"      },      \"rawoutput\" : {        \"fullcontact3\" : {          \"message\" : \"401: Invalid access token: 386bb14ec2d56895\",          \"status\" : 401        }      }    }  }, {    \"RchilliRedact\" : {      \"rchillienrichment\" : {      },      \"rawoutput\" : {        \"rchilliredact\" : {          \"RedactResume\" : 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color:#333333\\\">ACCOUNTABILITIES</span><br /><span style=\\\"font-family:Helvetica; color:#333333\\\">Inside sales role, which primarily takes calls on an inbound phone queue and sells direct to the consumer. Responds to customer inquiries. May direct customers to website or other company resources for information. Works effectively in a team environment.</span><br /><br /><span style=\\\"font-family:Helvetica; color:#333333\\\">RESPONSIBILITIES</span><br /><span style=\\\"font-family:Helvetica; color:#333333\\\">Transactional focus Typically assigned to a higher volume sales queue or specific segment Entry-level representative, learning segment and product/service offerings Regular coaching/mentoring required Frequent contact with leader Increases product knowledge Increases usage of different mediums (chat, social media, co-sharing of desktop, etc.)</span><br /><br /><span style=\\\"font-family:Helvetica; color:#333333\\\">QUALIFICATIONS:</span><br /><span style=\\\"font-family:Helvetica; color:#333333\\\">Strong communication skills, written and spoken (ENGLISH) - Min 1yr sales (IT) experience - Ability to multi-task - Ability to work under pressure - We are looking for candidates that are self-driven with a strong desire for sales. We re basically looking for someone who is looking to grow from a junior assistant sales admin role; has some technical (IT) background and is self-motivating to be able to move forward towards their next role within the company (after 9-months).</span></p><p style=\\\"margin-top:0pt; margin-bottom:8pt\\\"><span style=\\\"-aw-import:ignore\\\">&#xa0;</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; line-height:normal; font-size:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">CONTACT INFORMATION </span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; line-height:normal; font-size:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">Contact Email:</span><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">&#xa0;</span><a href=\\\"https://www.dice.com/company/10106616\\\" style=\\\"text-decoration:none\\\"><span style=\\\"font-family:Helvetica; font-size:11pt; color:#000000\\\">Stefanini</span></a><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">@beaconhillsg.com</span><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">&#xa0;</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; line-height:normal; font-size:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">Contact Phone:</span><span style=\\\"font-family:Cambria\\\">&#xa0;</span><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">+1 717-467-3847</span></p><p style=\\\"margin-top:0pt; margin-bottom:3pt; line-height:normal; font-size:16pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria; font-size:12pt; background-color:#ffffff\\\">Contact Person Name</span><span style=\\\"font-family:Cambria; font-size:14pt; background-color:#ffffff\\\">:</span><span style=\\\"font-family:Cambria; font-size:14pt\\\">&#xa0;</span><span style=\\\"font-family:Cambria; font-size:14pt\\\">J</span><span style=\\\"font-family:Cambria\\\">acob</span><span style=\\\"font-family:Cambria; font-size:14pt\\\"> </span><span style=\\\"font-family:Arial; font-size:13pt; color:#202124; background-color:#ffffff\\\">Smith</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; line-height:normal; font-size:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">WebSite:</span><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">&#xa0;</span><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">http://www.</span><span style=\\\"font-family:Cambria\\\">shefanorthyork</span><span style=\\\"font-family:Cambria; background-color:#ffffff\\\">.com</span></p><p style=\\\"margin-top:0pt; margin-bottom:0pt; line-height:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria; font-size:12pt; background-color:#ffffff\\\">Interview</span><span style=\\\"font-family:Cambria; font-size:12pt; background-color:#ffffff\\\">&#xa0;</span><span style=\\\"font-family:Cambria; font-size:12pt; background-color:#ffffff\\\">Type:</span><span style=\\\"font-family:Cambria; font-size:12pt; letter-spacing:0.15pt; background-color:#ffffff\\\">&#xa0;</span><span style=\\\"font-family:Cambria; font-size:12pt\\\">walkin </span></p><p style=\\\"margin-top:0pt; margin-bottom:3pt; line-height:normal; font-size:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria\\\">Interview Date: 06/02/2021</span></p><p style=\\\"margin-top:0pt; margin-bottom:3pt; line-height:normal; font-size:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria\\\">Interview Time: 11:00A.M</span></p><p style=\\\"margin-top:0pt; margin-bottom:3pt; line-height:normal; font-size:12pt; background-color:#ffffff\\\"><span style=\\\"font-family:Cambria\\\">Interview Location:</span><span style=\\\"font-family:Cambria\\\">&#xa0;</span><span style=\\\"font-family:Helvetica; font-size:11pt; color:#333333\\\">North York</span></p><p style=\\\"margin-top:0pt; margin-bottom:8pt\\\"><span style=\\\"-aw-import:ignore\\\">&#xa0;</span></p></div></body></html>\",    \"BuildVersion\" : \"3.1.2022.10.19\"  }}",
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                            "entity": "SkillWithoutExp",
                            "value": "Scheduling Patient Appointments"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.66,
                            "entity": "SkillWithoutExp",
                            "value": "Preparing Blood Samples For Laboratory Tests"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.66,
                            "entity": "SkillWithoutExp",
                            "value": "Drawing Blood"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.59,
                            "entity": "SkillWithoutExp",
                            "value": "Maintaining Medical Records"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.59,
                            "entity": "SkillWithoutExp",
                            "value": "Preparing Patients For Examination"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.59,
                            "entity": "SkillWithoutExp",
                            "value": "Dentistry"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.59,
                            "entity": "SkillWithoutExp",
                            "value": "Diagnose and Treat Human Injuries"
                        },
                        {
                            "score": 0.41,
                            "maxScore": 0.41,
                            "entity": "PreferredSkillSet",
                            "value": "communication skills"
                        },
                        {
                            "score": 0.41,
                            "maxScore": 0.41,
                            "entity": "AliasSkillSet",
                            "value": "good communication"
                        },
                        {
                            "score": 0.41,
                            "maxScore": 0.41,
                            "entity": "AliasSkillSet",
                            "value": "communication"
                        },
                        {
                            "score": 0.0,
                            "maxScore": 0.41,
                            "entity": "SkillWithoutExp",
                            "value": "Examinations"
                        }
                    ]
                }
            }
        }
    ],
    "resumeWeightage": [
        {
            "Parent": "JobProfile",
            "Weight": 35.0,
            "Child": {
                "CurrentJobProfile": 100.0,
                "CurrentJobAlias": 80.0,
                "JobProfile": 80.0,
                "JobAlias": 60.0
            }
        },
        {
            "Parent": "Employer",
            "Weight": 0.0,
            "Child": {
                "CurrentEmployer": 100.0,
                "Employer": 80.0
            }
        },
        {
            "Parent": "Skill",
            "Weight": 15.0,
            "Child": {
                "SkillHaveExp": 100.0,
                "SkillAlias": 60.0,
                "SkillWithoutExp": 80.0
            }
        },
        {
            "Parent": "Degree",
            "Weight": 10.0,
            "Child": {
                "HighestDegree": 100.0,
                "Degree": 80.0
            }
        },
        {
            "Parent": "City",
            "Weight": 5.0,
            "Child": {
                "EmployerCity": 90.0,
                "AddressCity": 100.0,
                "CurrentCity": 100.0,
                "EducationCity": 50.0,
                "PreferredCity": 90.0,
                "CurrentEmployerCity": 100.0
            }
        },
        {
            "Parent": "State",
            "Weight": 5.0,
            "Child": {
                "EducationState": 50.0,
                "CurrentState": 100.0,
                "PreferredState": 90.0,
                "EmployerState": 90.0,
                "CurrentEmployerState": 100.0,
                "AddressState": 100.0
            }
        },
        {
            "Parent": "Country",
            "Weight": 0.0,
            "Child": {
                "PreferredCountry": 90.0,
                "EducationCountry": 50.0,
                "CurrentCountry": 100.0,
                "EmployerCountry": 90.0,
                "AddressCountry": 100.0,
                "CurrentEmployerCountry": 100.0
            }
        },
        {
            "Parent": "TotalExperienceInYear",
            "Weight": 30.0
        },
        {
            "Parent": "Category",
            "Weight": 0.0
        },
        {
            "Parent": "SubCategory",
            "Weight": 0.0
        }
    ]
}

Error Code


Error Code	Error Message
2096	Invalid Parent {key} weight. Weightage must be 0 to 100.
2097	Invalid Child {key} weight. Weightage must be 0 to 100.
2098	Invalid Parent {key}.
2099	Invalid Child {key}.
2100	The Sum of the total Parent weight must not be greater than 100.
2101	Parent name is required.
2102	resumeWeightage/jdWeightage must be an array type.
2103	Invalid Weightage. This weightage is not applicable to this document.
2104	Weight/Child is required.
2105	Parent type must be a string.
2106	{key} Weight type must be double.
2107	Child type must be an object.
2108	{key} type must be double.
2109	Invalid explainWeightage type. Value must be either true or false.