The Rego policy library for AI compliance: 94 policies covering the EU AI Act, NIST AI RMF, FAA/EASA/ICAO aviation, FERPA, fair lending, and 10+ more frameworks.

Developed a credit risk framework for GE’s lending team using CRISP-DM and k-NN modeling. Demonstrated how predictive analytics can reduce default losses and improve risk management through scalable, automated workflows.

Predicts U.S. home loan approvals using 4.25M real HMDA 2023 applications — XGBoost, Random Forest, Logistic Regression, ROC-AUC 0.9932

HMDA mortgage lending disparity analyzer — denial rates, racial disparities, lending deserts, and lender benchmarking

CRA exam ratings scraper and analyzer — search FFIEC database, parse Performance Evaluations, identify CDFI partnership opportunities