• Developing strategy for Fraud Analytics utilizing authentication pattern using Machine Learning methodologies.• Study bank initiatives and emerging risks, identify data sources & develop insights and supporting estimation of cost and incremental benefits.• Leading multiple projects and collaborating with internal stakeholders.

Strategy Analytics Team with US based Credit Card bankBuilding machine learning models to identify qualifying customers for credit line increase program.Marketing Analytics Team with UK based bankDesigned and built statistical analysis models on larger data sets (Teradata) which identify and predict customers go into inactivity state. Developed reports for complete customer lifecycle management for marketing campaigns such as cross sell, retention and acquisition. Used statistical techniques for hypothesis testing to validate data and interpretations.Utilised SAS, SQL, Python & AWS for these projects.

Managed business requirements and lead statistical/data mining tasks, and summation procedures on data for US based leading P&C Insurance client.Built various statistical models for insurance/re-insurance (Logistics regression, CHAID, Decision Trees, Neural Network etc.)Managed customer database, product updates and upgrades. Lead ad-hoc requests for model calibration, including analysing various key matrices

Managed client database, product updates and upgrades. Coordinated product releases, developed client in house tools, streamlined product release cycle efficiently.Optimised and upgraded shipment tracking product for one of the leading Freight & Logistics Company. Improved cost efficiency by driving multiple process improvement initiatives.Recognised as a creative problem solver and go-to for solving technology issues and enhancing operational performance.