Developed machine learning models (Neural Networks, Random Forest Regressor, SVM Regressor, etc.) of probability of default on SunTrust historic mortgage data

Built model interpretability tools (using LIME, SHAP, etc.) to explain what the ML models were doing and bring ML models in line with regulatory and business standards.

Trained in SAS

Validated models