Results-oriented credit risk analyst at HDFC Bank, proficient in Python programming and credit risk modeling. Optimized monitoring processes, minimizing manual effort by 70%, and created robust IFRS 9-compliant ECL models. Demonstrated capacity to provide actionable insights and improve predictive accuracy, utilizing strong analytical skills and effective communication.
Loan Approval Prediction, 07/22 - 08/22, Did thorough Exploratory Data Analysis on the loan applicant dataset to understand the relationships between the features such as correlation, heatmaps, pairplots etc., Tried various feature engineering to convert categorical variables to numerical variables., Worked with Logistic Regression, Decision tree and Random Forest., Stacking model performs well with Recall 0.98(.02), Accuracy 0.805(0.07), F1 Score 0.87(.05) and AUC 0.78(.04).
Data Science and Business Analytics GRIP internship at The Sparks Foundation (NGO). Predicted the percentage of student get when they study 'x' no. of hours using linear Regression Algorithm., 2022 Member of Fest Organizing Team of Statistics Department., 2019