Financial data & risk analytics. Accounting background, MS in Business Analytics (AI concentration) — I read financial statements and I build the models that score them. Credit and market risk is where I focus; business analytics and applied AI are where I range.
Louisville, KY · Spanish / English · Open to analyst roles from September 2026
My center of gravity is risk in a financial context — credit risk modeling, macroeconomic and scenario analysis, and the data pipelines underneath both. My background is accounting first, analytics second, so I can tell you why a leverage ratio moved before I put it in a model.
Around that core I also work on business analytics (predictive modeling, customer and retention analytics) and applied AI (LLM-based agents and automation). Different problems, same toolkit: get the data honest, model it, and make the result something a decision-maker can act on.
| Project | What it does | Stack |
|---|---|---|
| corporate-credit-risk-engine | Type a US ticker → probability of default, implied rating and expected credit loss from live SEC EDGAR financials, with a CECL / IFRS 9 recession overlay. Interpretable PD model trained on 20 years of real bankruptcies | Python · scikit-learn · Dash · SEC EDGAR API |
| fed-dual-mandate-dashboard | 70 years of Federal Reserve data on the inflation-vs-employment trade-off. Phillips Curve, recession overlays, live KPIs. The macro scenario layer behind credit-loss and rate-risk models | Python · Dash · Plotly · PostgreSQL · FRED API |
| msba-coursework | Customer-retention (churn) model for a predictive-analytics case competition. Reproducible pipeline from preprocessing to evaluation; tenure, service intensity and contract type as key drivers | Python · pandas · scikit-learn · XGBoost |
Languages Python (pandas, scikit-learn, XGBoost), SQL, R Data PostgreSQL, ETL pipeline design, API extraction, data reconciliation Visualization Power BI, Dash, Plotly Finance Financial statement analysis, leverage & capital structure, budgeting & forecasting, variance analysis AI LLM-based agents & automation Also Excel (advanced), Git
M.S. Business Analytics, AI Concentration — University of Louisville, August 2026 · GPA 3.93 B.S. Accounting & Business Administration, Minor in Finance — Midway University, May 2025 · GPA 3.77, Dean's List 7× Google Data Analytics Professional Certificate · McKinsey Forward Program
Most recently an accounting intern at a Louisville CPA firm, where I worked across 20+ client accounts on financial statement review, variance analysis, and capital structure evaluation. Previously financial planning at Albrite Financial Group, where a reconciliation analysis I ran surfaced a $40M discrepancy between CRM-reported and actual AUM.
Former team captain, Midway University men's tennis — three conference finals.