Anuj Kumar Srivastava

1. Roll rate analysis. Predicting roll forward and roll backward rates using the Transition matrix.

2. Impact of increasing Repo rate on company's portfolio. Analyze repo rate trend and suggest them how they can reduce losses. Analyze the behavior and trend in delinquencies with the increased repo rate and prepare brief summary of the results.

3. Model monitoring PSI, CSI index and K-S. Prepare Python code for Population stability index and K-S test which is used for monitoring our salaried and self-employed scorecard model.

4. Hawk-eye (bureau automated tool) - To smoothing the underwriting process by reducing underwriter work while looking at multiple trade lines of a borrower. Comprehensively work on the bureau data and deep understanding of bureau variables. It gives auto approval to bureau reports of a borrowers.

PERSONAL PROJECTS

Credit card Default Prediction - Developed machine learning models in Python using logistic regression, decision trees. Evaluated the models using performance matrices, increased modelaccuracy from 70 per cent to 83 per cent, and proposed strategies to reduce credit card default.

CERTIFICATES

Business Analytics IMS Pro-school