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Senior Data Scientist Resume

TECHNICAL SKILLS

Programming Language: SQL, SAS, R, Python, Tableau

Microsoft: Excel, Power point

PROFESSIONAL EXPERIENCE:

Confidential

Senior Data Scientist

Responsibilities:

  • Lead the data science team on migration of Confidential Online Net view product to a common Confidential platform that includes Online, TV & Mobile. Wrote SAS macros and SQL scripts to enhance existing analytics engine with new parameters.
  • Participated in Online Survey research, survey questionnaire design, analyzing the survey data and panel sampling.
  • Participated in new Confidential data structure creation by providing inputs on the required fields to the engineering team.
  • Designed Netview Analytics Engine(NAE) that will perform appropriate data analysis and provide reports.
  • Developed SQL queries to extract required data for the NAE Extractor.
  • Implemented SAS procedures and macros to perform data integrity checks such as range checks, outliers for NAE Checker.
  • Wrote SAS ANOVA procedure to analyze and review the efficiency of the weighting variables used in panel weighting.
  • Developed SAS methodology to impute missing demographic information of the panelists.
  • Generated and analyzed quarterly, daily, weekly and monthly summary reports using SAS & SQL.

Confidential

Research Analyst

Responsibilities:

  • Developed SAS & SQL scripts to analyze panel demographics and panel Online behavior. Logically combined panel demographics to match the census demographic breakdowns.
  • Enhanced existing SAS code to accommodate changes in the input tables.
  • Designed and developed SAS weighting code to accommodate multiple countries.
  • It uses country specific weighting criteria and various intelligent heuristics to normalize the data and generate Panel Weights that are used by the Engineering team for front end metrics.
  • Developed SQL scripts to validate the front end reports generated by the Engineering team.

Confidential

Research Analyst

Responsibilities:

  • Used Sql Loader utility to export raw data from CSV files to SQL tables.
  • Used advanced Microsoft Excel to create pivot tables, used v lookup, and other excel functions and macros.
  • Participated in database migration from Oracle to Confidential . Performed various checks to make sure data was not lost in the migration process.
  • Worked on panel survey questions for various markets.
  • Developed linear regression models to restate reports in order to resolve the trending gap caused by bad data.

LEADERSHIP EXPERIENCE

  • Heavily involved in analysis and interpretation of digital Audience measurement data.
  • Attended on site Python and R sessions sponsored by Confidential .
  • Experience of working with browsing data and streaming data.
  • Lead the data science team on providing requirements and recommendations to the application development team on Online, video and retail projects.
  • Understanding & Experience of working on Panel methodology & Panel data.
  • Manage design & methodological aspects of the products (sampling, weighting, specifications, requirements, reporting etc.), enhancements to the products & respond to the operational issues that come up during the production process.
  • Played a key role in establishing and enhancing the methodology for multiple Confidential products in US and other international countries.
  • Collaborating with Confidential global teams like Product Marketing, Engineering and global Measurement Science.
  • Wrote technical specs for the application development team.
  • Assisted offshore team in production and ad - hoc requests. Responsibilities include establishing communication channels between client services and offshore production team, troubleshooting, auditing, tracking progress, and process documentation.

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