Data Scientist
Current- Designed a pilot model to predict any new update in hyperlocal market for customers.- Build data server for the organization to house customers’ data, to be utilized by multiple front-end applications.- Build algorithm and predictive analysis for visualizing and analyzing live customer data feed based off geographic locations.- Runs SQL queries to work with ad-hoc data extraction for business and customers.- Data mining and validation after every refresh from the data vendors- Creating data visualization using Tableau and Python.- Back up organization’s data into Data Warehouse and Data Marts on AWS/ cloud network.- Enhancing Relational Database structure by indexing and partitioning to increase query efficiency.- Investigate and conduct studies on forecasts, demand, and capital of data facilitating clustering analysis for multiple customers.- Building machine learning algorithms to drive the shift in market demands, making our product sustainable in fast paced data industry.- Working closely with engineering and analytical team to implement as well improve the real time predictive reporting for customers- Work on researching, analyzing, and building KPI metrices as per the technical requirements gathered via client’s use case as well as industrial enhancements- Created Alpha-Beta (A/B) testing to understand clients’ requirements and update data validation accordingly- Generated statistical visualization reports for internal teams to understand our nationwide data coverage resulting in customer retention programs and marketing campaigns.