Models, pipelines and pricing in production.

Legends Global · Frisco, TX / Hybrid

Building Bayesian demand forecasting and dynamic pricing models using PyMC across live events. End-to-end ML pipeline ownership across ticketing, F&B, merchandise, and sponsorship verticals on Azure and Databricks.

• Python
• PyMC
• Bayesian
• Azure
• Databricks

Fractal Sports · Dallas / London / Remote

AI powered sports analytics agency delivering pricing intelligence, sponsorship valuation, and revenue reporting automatically to sports organizations and live event properties globally. Currently in build phase.

• AI
• Sports Analytics
• Python
• Early Stage

Dallas Trinity FC · Dallas, TX / On-site

Sole technical owner of full club analytics infrastructure. Architected a Snowflake star schema warehouse unifying ticketing, CRM, marketing, and revenue data. Built Python and SQL ensemble models for attendance forecasting and sponsorship valuation.

• Snowflake
• Python
• SQL
• Forecasting

Nike · Beaverton, OR / Hybrid

SKU level demand forecasting models improving global product allocation accuracy and reducing stockout risk. Automated a Snowflake based weekly reporting pipeline with embedded data quality validation.

• Python
• SQL
• Snowflake
• Demand Forecasting

University of California · La Jolla, CA

Supported athletics department ticketing operations, partnership analytics, and NIL initiative data infrastructure. Built SQL based reporting pipelines and regression models translating marketing and revenue data into actionable insights for leadership.

• SQL
• Regression Analysis
• Google Analytics
• Tableau

Meta · Menlo Park, CA / Hybrid

Designed and analyzed A/B tests using causal inference and difference in differences frameworks across large scale ad impression data. Built audience segmentation models using behavioral signals and lookalike modeling.

• Causal Inference
• A/B Testing
• Python
• Segmentation

Nike · Beaverton, OR / On-site

First Nike role. Demand forecasting and data pipeline work at global scale. The beginning of working with real production systems.

• Python
• SQL
• Power BI

University of Idaho · Moscow, ID / On-site

Where everything started. Built the first data analytics infrastructure for the program. Every model, every report, every insight from zero. The origin of all of it.

• R
• Power BI
• SQL