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.