Planning decisions under uncertainty, made measurable.
I work on demand and supply planning problems where long lead times, capacity limits, and forecast variability shape service performance. This portfolio brings together my CV, business case studies, and the simulation methodology behind the analysis.
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CV
Work experience, education, skills, awards, languages, and contact links in resume format.
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Business-facing supply chain work, including case studies built around measurable planning trade-offs.
Browse projectsMethodology
The stochastic multi-echelon planning engine used to generate and validate case-study results.
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The Cost of Time
A planning case study showing how lead-time structure moves the cost-service frontier, why capacity cannot fully offset long response times, and where lead-time reduction creates the clearest value.
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About
My background combines supply chain planning, economics, statistics, and operations research. I focus on turning operational uncertainty into structured decisions: what to hold, what to prioritize, what to simulate, and how to explain the trade-off clearly across planning, operations, finance, and commercial teams.