Projects
My projects span Michelin supply-chain analytics, Formula 1 logistics network design, and route optimization.
Fortune 500 experience
Three connected projects spanning predictive analytics, operational decision support, and executive governance.
Built a machine-learning model in Databricks to predict intercontinental lead times and give operations earlier visibility into late-arrival risk.
Produced interactive Power BI reporting that surfaced shipments exposed to late arrival fees, container tracking details, and ocean-carrier performance patterns.
Collaborated with Michelin exception-management teams to support automatic expediting of at-risk containers and translate exception activity into leadership-ready reporting.
Formula 1 race-day logistics
Using Excel, JMP, and linear programming, I developed a network design that optimized Formula 1 race-day logistics and protected equipment arrival dates for a high-stakes race weekend.
Independent analytics project
A capacitated vehicle-routing model with delivery time windows for a simulated 55-customer last-mile network. The accompanying executive dashboard translates route outputs into decisions about fleet size, cost, utilization, and emissions.