Loan Default Risk Prediction
Trained and evaluated Logistic Regression, Random Forest, and XGBoost models on 10,000+ loan applicant records to identify prospective default cases. Deployed the final model as an active REST API. Handled extreme class imbalance using SMOTE and tuned hyperparameters via GridSearchCV.