Leading several large scale end to end Analytical Data Lake and Fraud Management implementations for India's leading Insurance companies

Implemented Machine Learning based predictive models to drive certain key use cases -• Early Claims Prediction for Underwriting • Internal Cross sell • Drive customer retention (Persistency Management) • Driving Cross Sell using Database Marketing Analytics • Calculating customer life time value (CLTV)

• Implementing Attrition Analytics framework that uses a predictive model to deliver the probability of an employee leaving the organization using Logistic Regression• Driving the initiative to implement Enhanced Benchmarking, Claims Analytics and Cross Sell Strategy for various Group Entites• Driving the initiative of setting up Global Analytics Practice based on the Shared Services Model.• Proactively identifying the data trends and market intelligence to support the analytic propositions for the various group businesses• Manage the global stakeholders on an ongoing basis while delivering on the Data and Analytics requirements

Project: Financial Claim Scheme - Westpac Bank.• Designed and implemented the first group-wide business analytics and BI capability in form of analytic framework to track customer and deposit aggregate and deliver key insights into APRA regulatory reports.• Delivered the APRA Regulatory Reporting requirements by leveraging the Group's Enterprise Data warehouse and BI capabilities as part of Financial Claim Scheme (FCS) program.• Implemented the strategy to remediate the Trust- Account linkages resulting in the correct allocation of deposits in the case of an insolvency declaration.• Successfully implemented strategic solution as part of KnowMe - Westpac’s Customer Analytics program that is expected to generate $59 mil in revenues by sending out targeted leads for bank’s 60 mil customers.• Won award in quarterly Business Process &Analytics meet for contribution to KnowMe analytics program.