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Research Analyst
other• August 2019 - December 2019
•Statistically analyzed consumer survey results using significance testing and contributed to published research reports on findings, performed chi square tests, Turf analysis and removed outliers as part of data cleaning. •Ensured and maintained projected service level of 95% or better in the form of estimated time of arrival of Research and delivering comprehensive analysis to client. •Statistically analyzed US Broadband Household datasets based on custom research in Q Research and SPSS , interpreted consumer data, assessed logical findings increasing client side efficiency by 14% . •Produced publication-quality research and illustrated findings using MS Excel, Tableau and PowerPoint. •Tested complex questionnaires, managed multiple short-term and long-term projects simultaneously.
Data Analyst
apilation• May 2019 - August 2019
•Created visually impactful dashboards in Edge and Tableau for data reporting to Client side . •Extracted, Enriched, Feature Engineered, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information increasing data quality by 30%. •Derived meaningful operational metrics for our clients using R, Python, Java-Script Notation (JSON), MongoDB •Implemented pipeline creation using huge collections on edge and JSonar and further visualized data for client understanding using NoSQL, Created recommendation engine using python for our client. •Implemented predictive algorithms to recommend products to customers increasing client side sales by 12%.
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