-Built several machine learning models for churn prediction, cltv prediction,recommendation system, demand planning and credit risk scoring serving multipleindustries with scikit-learn.-deployed machine learning models using docker containers and flask

-Leading the machine learning solution in model research and model development-Built and evaluated machine learning predictive models improving customer churnrate by 10% with scikit-learn & PyCaret.-Processed and analyzed data surrounding Risk, Fin-ops and Compliance using SQLand Python.-Automated data retention and created interactive visualization dashboards withTableau.-Communicated and Presented Analysis Results and Insights to non technical highermanagement.

-Developed several machine learning models for sentiment analysis, customersegmentation and sales forecasting with scikit-learn.-Built different industrial dashboard using Microsoft power bi for retail, e-commerceand financial services.-Communicated and presented analysis results to non technical customers.