✅ The client needed a predictive model to identify customers likely to purchase retail loan products and accounts.

✅ Extracted transactional and behavioral data using Oracle SQL.

✅ Built a propensity model in Python and prepared a deployment script for execution in a local environment.

✅ Impact: Improved marketing conversion rates by 15%, optimizing targeting strategies and resource allocation.