Working as a Data Analyst at Kantar. Working on FMCG data, removing outliers, handing missing data, and solving queries from the given data. Conducting qualitative and quantitative statistical analysis of data for Clint-specific research.Providing actionable insight using SQL, SPSS, Python, R, Excel and similar software.

Worked as a Data Scientist in Tata Motors passenger vehicle business unit. Exchange Propensity Model: In that we build model to identify which existing Tata motors customers more likely to exchange old vehicles for new ones. Service Retention Model: A churn model was developed to identify causes of customer churn and create a list of customers who may move away from servicing.. Worked on monthly data using Pyspark for Data Processing, R Programming for Data Modelling, Hive and SQL for Data Extraction and AWS for data storage.