Model Risk Management (MRM):Lead Monitoring and Validation of multiple Machine Learning models using Python, R and SQLRisk Analytics: Developed and Implemented multiple Risk Analytics Machine Learning Models using Python,R, and SQL.Marketing Analytics: Developed and Implemented multiple Propensity Machine Learning Models for cross sell using Python, R and SQL.

•Lead team of Analyst and Generated Insights from large datasets to Top Management using SQL,R and Excel.• As part of Business Intelligence team of Bank, Handled Reporting requirements for Bank as a whole.Generated more than 500+ reports.• Played a important role in Bank's Transformation Project Navshakti with M/s McKinsey.Key person for Data Engineering for this project and received appreciation from MD and CEO of the Bank during May 2013.• Played a pivoting role in starting Analytics Practice in Bank by evaluating various service providers.• Part of team involved in developing Predictive Model to rank probable Insurance Customers using SQL and R.Implemented Model Bank as a whole with 3x conversion.Won "Finacle Client Innovation Award" in year 2019.

•Maintained enterprise wise data warehouse for the Bank.• Involved in take over of daily routine activities from the vendor thereby reducing cost to the Bank.• Extract, Transform and Load TBs of data from Core Banking System to Teradata Data warehouse solution.• Ensured that daily completion of ETL job within timelines and data quality.

•Developed ETL Jobs using IBM Datastage.• Played a pivotal role in implementation of ETL routines for AML Project in regions Hong Kong and Singapore.• Received Certification of Appreciation from Client.• Developed multiple ETL Jobs for various projects in the Bank.• Resolved a critical issue in ETL Job on day of production.

•Developed ETL Jobs using IBM Datastage for a Japanese Client.