• Minimized losses through CHAID decision tree segmentation, refining portfolio oversight and strategic adjustments for improved risk control.• Engineered predictive models to drive superior collection strategies by leveraging customer payment history and economic indicators, resulting in increased recovery rates.• Generated actionable behavioral predictions using regression and segmentation models, empowering strategic recommendations for advanced portfolio management and customer engagement.• Enhanced decision-making with dynamic TTD (through the door) reports and dashboards, providing most recent insights and facilitating swift, informed actions in high-risk zones.• Built scorecards using SQL and Python uncovering critical trends and potential risks, and enabling proactive risk mitigation which elevated precision in credit assessments.