About Hunter

I’m a data science and analytics leader focused on designing and delivering decision systems for large-scale, real-world operations. My work sits at the intersection of supply chain operations, advanced analytics, and production software—turning complex operational problems into scalable, high-impact products.

I currently manage a Data Science team within Supply Chain Analytics at The Home Depot, where I own the strategy, roadmap, and delivery of advanced analytics and AI products supporting end-to-end supply chain operations. My teams build and deploy optimization engines, forecasting systems, simulation models, and generative AI tools used directly by operators, planners, and senior leadership. These products have driven multi-million-dollar annual savings, improved labor productivity, and enabled analytics self-service across the organization

Previously, I served as a Senior Data Scientist leading technically complex initiatives across network strategy, labor planning, transportation, and distribution center operations. That work included strategic optimization for facility networks, time-series forecasting and capacity planning, production labor automation, and applied R&D in reinforcement learning, computer vision, and digital twins—always with a bias toward deployable, production-grade solutions

Earlier in my career at Northrop Grumman, I worked directly in manufacturing environments as an industrial engineer, applying lean principles, risk modeling, and simulation to production systems. That experience still anchors how I approach analytics today: start with how the system actually runs, then build tools that operators can trust.

Outside of my day job, I build. Current and recent projects include:

• A high-performance simulation engine in Rust for discrete-event and decision modeling
• Domain-specific AI assistants and workflow automation tools

I value clarity, execution speed, and measurable impact. Whether I’m leading a team, designing an optimization model, or writing low-level simulation code, the goal is the same: ship systems that work in the real world—and make them meaningfully better than what existed before.

If you’re interested in simulation, optimization, ML systems, supply chain decision science, or Rust-based infrastructure, I’m always open to a conversation.