I build data projects for banking, payments and finance: pipelines, warehouses, risk models and the dashboards people use to make decisions, on real data wherever I can.
Tools: Python · SQL · PySpark · Databricks · Snowflake · dbt · Apache Airflow · MLflow · Power BI · Tableau · Excel · Docker
| Project | What it is | Stack |
|---|---|---|
| Bank Health Data Platform | Early warning for distress in every FDIC-insured bank, on 26 years of call reports and 2M CFPB complaints | Airflow, Databricks, PySpark, MLflow, Snowflake, dbt, Power BI |
| Macro & Markets Dashboard | Live markets and economy dashboard refreshed every weekday from Treasury, NY Fed, BLS, Cboe, EIA and ECB | Python, GitHub Actions, Tableau, Power BI |
| Budget Variance Pack | FY2026 budget vs actual pack with a price-volume-mix bridge and commentary | Excel, Python, Tableau |
| UK Bank Customer Dashboard | Customer profile dashboard for a UK retail bank | Tableau |
| Credit Risk Scoring | Consumer loan PD scorecard with a GBM challenger, out-of-time validation and PSI monitoring | Python, scikit-learn |
| Expected Credit Loss | CECL and IFRS 9 allowance with macro scenarios and a backtest | Python |
| Transaction Fraud Detection | Rules vs Isolation Forest vs gradient boosting, judged by fraud dollars caught per alert | Python |
| AML Transaction Monitoring | AML rules, alert triage model and network analysis for money mules | Python, NetworkX |
More: treasury cash forecasting, settlement and liquidity monitoring, merchant churn, merchant unit economics and a dbt-style SQL pipeline. See all repositories.
Based in Denton, Texas.
