Data Scientist
Current- Developed XGBoost model for risk segmentation to assess customers’ propensity to pay using transaction data, demographic, and bureau features, enhancing risk management strategies for 1.1M customers, resulting in a 3X lift in average recovery amount for the top segment.- Designed and implemented a comprehensive Data Mart integrating various data sources.