Program Management · Forecasting · Capacity Planning — Rivian, Volvo Group, Hyundai
I re-architected how a $2M+ demand planning system got built, adopted, and scaled — then did it again with a $6M inventory model. I lead the systems and programs that let supply chain organizations scale without breaking.
At Rivian, I was the Business Lead and SME on a $2M+ enterprise implementation (PTC Servigistics) — coordinating offshore vendors, engineers, and project managers to launch on time. The result: a 40% improvement in forecast accuracy and inventory turns up from 1.2x to 1.9x in 8 months.
I manage a team of 5 planners running a large-scale inventory portfolio, and I've built forecasting and inventory models in Python and SQL that eliminated 20+ hours of manual work per planner per week and generated $6M+ in estimated annual savings.
I sit at the intersection most program roles need but rarely find: I can run the cross-functional program and build the technical tool that makes the program work. I started as a Quality Engineer at Hyundai, root-causing failures in physical parts — that engineering-first instinct is why I gravitated toward systems and process design instead of staying in pure analytics.
Selected systems and models I've designed and shipped that moved real business metrics.
Business Lead and SME on a $2M+ Advanced Planning System rollout, coordinating offshore vendors, engineers, and PMs to launch on time. Forecast accuracy improved 40%; inventory turns rose from 1.2x to 1.9x in 8 months.
Built a model automating new-parts planning by part compatibility across 8,000+ SKUs, generating an estimated $6M+ in annual inventory savings.
Built a Python forecasting tool with multi-variable inputs adopted by 6 planners, eliminating manual data entry and cutting processing time by 20 hours per planner per week.
Built a predictive forecast model using telemetric and maintenance data, increasing part availability 30% and cutting customer repair wait times by 2 days.
Built and automated large-scale demand forecasting using machine learning models across 3,000 SKUs and 3 regions, reducing forecast model variance by 15%.
Built automated KPI and ETA reporting tools in Power BI and SQL used by 20+ planners, and automated back-order invoicing with Python — cutting manual reporting time by 30%.
7+ years across automotive and industrial supply chains, from the shop floor to enterprise program leadership.
Master's Degree, Industrial Engineering · 2016 – 2018
B.E., Mechanical Engineering · 2012 – 2016
I'm looking for the next org where the problem is bigger than one team's forecast — global network capacity, multi-tier supplier coordination, or systems that need to scale across regions. If you're building a program management or capacity planning function, I'd like to talk.