Collaborating with multiple cross-functional teams to develop a predictive model using Python to forecast customer roll behavior and the amount rolled during promotional periods, enhancing credit risk management and revenue predictions.

• Leading a comprehensive segmentation analysis of affluent customers(Top 5%) of Citizens, examining acquisition channels, market penetration, retention rates, and competitive benchmarks to drive strategic insights and optimize targeting strategies

• Conducting a comprehensive pre/post analysis to understand customer promo roll behavior and amounts, enhancing credit risk management by analyzing 24 months of transaction data around promotional periods.