At Credit Access Grameen, I profile written-off customers using bureau data, build good-versus-bad classification models, and automate recurring MIS reporting to support targeted recovery and risk segmentation. I also develop data quality workflows, analyse PAR and portfolio trends, and present risk signals to senior management.
Previously at RBL Bank, I built a real-time commercial trigger monitoring system that contributed to a 40% increase in successful product placements, while using ThoughtSpot dashboards and automated follow-ups to identify cross-sell opportunities. My work combines Python, SQL, machine learning, and business-focused analytics across credit risk and BFSI.
