I've managed the people.
Now I build the systems that do.
Each project below started as an operational problem. The output was always a system — built to be used by real people under real pressure, then documented for adoption across the organization.
Built a two-number par framework using MAX(data-driven par, floor par) logic with buffer modeling across 30+ prep items. Deployed via Power BI export pipeline with 9 weeks of historical data.
Designed and built an Excel/VBA task tracker for front-of-house operations. Documented for multi-location deployment and adopted enterprise-wide across the Good Food Holdings chain.
Applied data-driven scheduling logic in Dayforce HCM for a 40+ person team, optimizing coverage windows against historical demand data to control labor cost and reduce gap coverage.
Designated primary resource for AI-driven operations platform configuration and cross-location adoption across the full chain. Responsible for usage standards, training, and ongoing support.
Every tool listed here has been used in production, not just studied. That's the difference between an operator who learned tech and a technologist who learned operations.