CreditRisk Intelligence — AI-Powered Credit Risk Infrastructure for Fintechs
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Updated
Jun 12, 2026 - Python
CreditRisk Intelligence — AI-Powered Credit Risk Infrastructure for Fintechs
Interactive financial stress testing and scenario analysis dashboard built in Python/Streamlit. Includes synthetic data generation, multi-scenario forecasting, capital & efficiency metrics, and automated PowerPoint/PDF exports for management reporting.
Production-style CRE credit-risk modeling pipeline — Python package + R/auto.arima companion + SQLAlchemy persistence + Streamlit dashboard. FRED, Google Mobility, Boston Zoning. pytest + CI.
Designed a comprehensive Regulatory Reporting Simulator to replicate large-bank reporting processes under U.S. regulatory requirements. Engineered automated workflows for data consolidation, error detection, and regulatory submission formats. Delivered a realistic sandbox for compliance analytics and audit simulations.
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