Indranil Banerjee

• Developed a self-cure model for catching up, easy-paying customers, using a logistic model, which resulted in a reduction of RF rates by 2.3%.
• Developed an end-to-end PDM mechanism for EMI due calling and X bucket strategies.
• Developed segmentation method, to identify ideal intervention for a customer for timely payments.

Developed few BAU reports for sales and purchase trends.

• Strategy for Increase in conversion of TW ABND customers through EMI Cushion logic, ABND dropped by 12% for BH customers.
• Developed a Bounce to RF model for X Bucket customers.
• Derived a self-cure strategy for collections of X-bucket customers for cost optimization in TW product.
• Detected syndicate fraud through Decision Tree, determined groups where high fraud was observed, RCU confirmed 46% of fraud cases.
• Developed a 100% LTV product, where 100% financing is given to BH customer, using bureau trends. 180 Cr sourced, with 2.3% GNS and 0% 90+ in L12M.

• Responsible for automation of shiny dashboards.
• Developed a regression model for Normative grid prices for TW defaulted customers .

• Responsible for portfolio governance analysis in rural, unsecured business.
• Behavioral segmentation (K-Means) for cross-selling PL loans to existing customers. Achieved a conversion of 1.2 % in first 6 months .
• Designed ECL computations for TW Business.