Managed customer engagement & retention for small businesses and corporate credit card customers in the US being involved in initiatives such as : 1. Enhanced the customer targeting framework by identifying the right set of clients with growth opportunities that should be spoken to by the sales teams 2. Created a framework for preventing spend loss by segmenting customers into those predicted to decline in the future, showing active attrition behavior and the ones requiring a win-back effort 3. Implemented initiatives around improving the sales efficiency using skill based routing to have the right lead allocated to each sales representative

Led a team of consultants and data scientists to drive business impact across various initiatives, some of them mentioned below : 1. Created an optimal ad break schedule framework so as to minimize switching behavior during as breaks for a major broadcaster in India 2. Created a Multi-Touch Attribution model to ascribe individual impacts to different campaigns helping the marketing team with investment optimization 3. Set up an analytics team involving data engineering, insights & visualization and machine learning workstreams for a major payment services client in India

Led projects for a global credit card organization working on: 1. Risk Analytics a. Enhanced a Return on Economic Capital (ROEC) framework for underwriting of new accounts and reactive & proactive line increase / decrease for corporate credit card portfolio b. Created a risk assessment framework working on a segmentation based approach utilizing probability of default, EAD and LGD estimates basis different macro-economic scenarios 2. Marketing Analytics a. Created Customer Profiling for Corporate Credit Products b. Devised Cross-sell and engagement strategy for growing B2B spend on commercial credit cards c. Designed a statistical framework to accurately measure the impact & effectiveness of various marketing campaigns 3. Data Enhancements & Governance a. Developed a sales prediction model for small businesses and corporate clients improving coverage and accuracy compared to existing bureau data b. Created a comprehensive customer level view for global customer base taking into account different card and non-card relationships