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Technical Business Analyst Resume Example

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TECHNICAL BUSINESS ANALYST
Professional Summary
Over 5 years of experience in AML Compliance and IT services. Experienced statistical analyst with expertise in financial crime analytics. Proficient in providing business and operational solutions for financial institutions, specifically in BSA/AML, Transaction Monitoring and Sanctions. Seeking to leverage analytical skills to implement financial compliance solutions at banks.
Skills
  • Oracle/SQL/MS-SQL
  • PL/SQL
  • R Programming Language
  • Python
  • MS-Excel, PowerPoint, Visio
  • Anti-Money Laundering (AML)
  • Data and Business Analysis
  • Production support
  • Solution testing and implementation
  • Data migration
  • Research and analysis
  • Requirements Gathering
  • Data Visualization
  • Business Intelligence (BI)
  • Statistics
  • Apache, Programming
  • Approach, Python
  • Business Analysis, QA
  • BI, Requirements Gathering
  • Business Intelligence, Research
  • Data Analysis, MS-SQL
  • Data migration, Statistics
  • Database, Strategy
  • ETL, Strategy development
  • Financial, Toad
  • Functional, User interface
  • DB2, VBA
  • Logistics, Visio
  • Macros
  • MS-Excel
  • Excel
  • Money
  • PowerPoint
  • Word2
  • Works
  • NLP
  • Optimization
  • PL/SQL
  • Oracle/SQL
  • POS
Work History
Technical Business Analyst, 02/2019 to Current
Conduent Incorporated – Richardson , TX
  • Assisted global banks to implement Actimize SAM v8 along with KDE Identification, Actimize data mapping and sourcing, transformation and data lineage and testing, Data Testing Strategy development and SAM rule testing, tuning and optimization.
  • Developed global sanctions and watch list screening standards by analyzing and testing current regulatory screening procedures.
  • Designed segmentation approach specific to transaction monitoring using R Studio to classify different transaction types.
  • Performed cluster analysis using different statistical models like K-means, K-medians (KCCA) and K- Medoid to segment large amount of data by value and volume for performance tuning.
  • Supported and assisted ETL, testing and QA teams for data ingestion and movement to production layer.
  • Designed RCM UI Functionality testing strategy to verify proper functioning of in-scope Actimize rules and Actimize Risk Case Manager (RCM) user interface works as expected in PL/SQL toad for testing accuracy of alert generation in RCM.
Data Analyst Intern, 05/2017 to 08/2018
Dallas , TX
  • Automated creation of Triple Database (TDB).
  • This upgraded existing TDB by Apache Jena Fuseki (created manually) to system with option to choose from TDB by Apache Jena Fuseki, Stardog or AllegroGraph created on run.
  • Cleansed 14% of garbage concepts from Ontology/corpus using different NLP techniques like POS tagging, tf-idf, stemming and lemmatization.
  • Developed Ontology for specific regulatory instructions like FASB and BASEL from huge corpus of unstructured financial text using NLP techniques like Topic Modelling (LDA), Word2vec, Tf-idf and POS tagging.
  • Ontology is used to analyze similar financial documents.
  • Experience in building macros using VBA programming, VLOOKUP, Pivot Table and Data Analysis in Excel to deliver transformative insights from extremely large data sets.
Data Analyst, 11/2014 to 12/2016
Tendril – Seattle , India
  • Automated static data load into DB2 database in logistics application for automobile project decreasing process time by 23%.
  • Analyzed technical, system, and user requirements.
  • Facilitated root cause analysis (RCA) of system issues to minimize impact and future occurrences.
  • Liaison between business and technology units in analyzing and defining business needs, functional & non-functional requirements and use cases for new applications.
  • Facilitated Scrum and JAD sessions, conducted interviews, and Q&A sessions with business users to solicit business requirements relative to proposed functionality.
  • Built sustainable dashboards and reports, using tools such as Tableau and Excel, that integrated data from across project to provide superior business and operational insights.
Education
Master of Science: Engineering Management, 12/2018
Syracuse University - City, State
Work History
Technical Business Analyst, 02/2019 to Current
Company Name – City, State
  • Assisted global banks to implement Actimize SAM v8 along with KDE Identification, Actimize data mapping and sourcing, transformation and data lineage and testing, Data Testing Strategy development and SAM rule testing, tuning and optimization.
  • Developed global sanctions and watch list screening standards by analyzing and testing current regulatory screening procedures.
  • Designed segmentation approach specific to transaction monitoring using R Studio to classify different transaction types.
  • Performed cluster analysis using different statistical models like K-means, K-medians (KCCA) and K- Medoid to segment large amount of data by value and volume for performance tuning.
  • Supported and assisted ETL, testing and QA teams for data ingestion and movement to production layer.
  • Designed RCM UI Functionality testing strategy to verify proper functioning of in-scope Actimize rules and Actimize Risk Case Manager (RCM) user interface works as expected in PL/SQL toad for testing accuracy of alert generation in RCM.
Data Analyst Intern, 05/2017 to 08/2018
City, State
  • Automated creation of Triple Database (TDB).
  • This upgraded existing TDB by Apache Jena Fuseki (created manually) to system with option to choose from TDB by Apache Jena Fuseki, Stardog or AllegroGraph created on run.
  • Cleansed 14% of garbage concepts from Ontology/corpus using different NLP techniques like POS tagging, tf-idf, stemming and lemmatization.
  • Developed Ontologyfor specific regulatory instructions like FASB and BASEL from huge corpus of unstructured financial text using NLP techniques like Topic Modelling (LDA), Word2vec, Tf-idf and POS tagging.
  • Ontology is used to analyze similar financial documents.
  • Experience in building macros using VBA programming, VLOOKUP, Pivot Table and Data Analysis in Excel to deliver transformative insights from extremely large data sets.
Data Analyst, 11/2014 to 12/2016
Company Name – City
  • Automated static data load into DB2 database in logistics application for automobile project decreasing process time by 23%.
  • Analyzed technical, system, and user requirements.
  • Facilitated root cause analysis (RCA) of system issues to minimize impact and future occurrences.
  • Liaison between business and technology units in analyzing and defining business needs, functional & non-functional requirements and use cases for new applications.
  • Facilitated Scrum and JAD sessions, conducted interviews, and Q&A sessions with business users to solicit business requirements relative to proposed functionality.
  • Built sustainable dashboards and reports, using tools such as Tableau and Excel, that integrated data from across project to provide superior business and operational insights.
Skills
  • Oracle/SQL/MS-SQL
  • PL/SQL
  • R Programming Language
  • Python
  • MS-Excel, PowerPoint, Visio
  • Anti-Money Laundering (AML)
  • Data and Business Analysis
  • Production support
  • Solution testing and implementation
  • Data migration
  • Research and analysis
  • Requirements Gathering
  • Data Visualization
  • Business Intelligence (BI)
  • Statistics,
  • Apache, approach, Business Analysis, BI, Business Intelligence, Data Analysis, Data migration, Database, ETL, financial, functional, DB2, logistics, macros, MS-Excel, Excel, Money, PowerPoint, Word2, works, NLP, optimization, PL/SQL, Oracle/SQL, POS, Programming, Python, QA, Requirements Gathering, Research, MS-SQL, Statistics, strategy, Strategy development, toad, user interface, VBA, Visio
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    Resume Overview

    School Attended

    • Syracuse University

    Job Titles Held:

    • Technical Business Analyst
    • Data Analyst Intern
    • Data Analyst

    Degrees

    • Master of Science : Engineering Management , 12/2018

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