Match Degree with Specialization
This topic describe the procedure on how you can match the Specialization entity along with Degree of the candidate.
Previously, the search and match API consider Degree entity for match without
considering the degree specialization. With implementation of this feature, you can now
match for both Degree and Specialization entities, with weightage/scores
distributed between them. In order to match for both Degree and
Specialization entities, you must pass degreeWithSpecialization
parameter in the API request and mark it True. See below for
reference:
"degreeWithSpecialization": true
The weightage/scores distributed between Degree and Specialization entities
equally if both are matched. If only one of the entity is matched then 50% weightage
given to the matched entity. Also, higher specialization is consider for matching, for
example if the query is "Bachelors of Technology in Computer Science" then:
- B.tech in Computer Science resumes are given 100% weightage.
- MTech in Computer Science resumes are given 100% weightage.
- BSc/MSc in Computers Science resumes are given 50% weightage
- BCom or BDS or LLB etc., are given 0% weightage
You can also pass degreeWithSpecializationWeightage parameter along with
degreeWithSpecialization parameter, see
below:
"degreeWithSpecialization": true,
"degreeWithSpecializationWeightage": {
"Degree": 80,
"Specialization": 20
}
The degreeWithSpecializationWeightage parameter is an optional
parameter that allows for the dynamic setting of weightage for Degree and
Specialization entities. In the above example, the weightage for the
Degree entity is set to 80 instead of the default 50. If the
degreeWithSpecializationWeightage parameter is not passed in the request,
then the default weightage distribution of 50-50% is applied between the Degree
and Specialization entities. Note:
- You cannot assign zero wightage for the Degree entity, but zero wightage can be assigned to the Specialization entity.
- The degreeWithSpecializationWeightage parameter cannot be used alone and must always be applied in conjunction with the degreeWithSpecialization parameter.
The degreeWithSpecialization parameter can be passed in the API request of Match, Match with ID, Match with Multiple Sub-User Ids, and One To One Match.
Note:
- The degreeWithSpecialization parameter is applicable only for JD to Resume search and match.
- The degreeWithSpecialization parameter must be passed as True in the API request to use this feature.
- Use JD parser API to get parsed JD JSON data, but use version as "3.2" instead of "3.1".
- To know more details, refer Match, Match with ID, Match with Multiple Sub-User Ids, and One To One Match.
Sample Request
{
"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; 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