I'm a results-driven supply chain professional holding a Master of Science in Industrial Engineering from Clemson University (GPA 4.0) and hands-on experience across manufacturing, maintenance, and enterprise software delivery.
At OMP, I've grown from Supply Chain Implementation Consultant to Assistant Project Manager — leading cross-functional teams of 10+, managing billion-dollar client go-lives, and standardising delivery processes that cut manual effort by 50%.
My mechanical engineering foundation, combined with certifications in Six Sigma and Data Science, gives me a unique lens to tackle complex operational challenges with both rigour and creativity.
01Coordinated delivery across 3 time zones with global teams
02Key contributor to a billion-dollar enterprise client go-live
03Standardised processes cutting implementation effort by 50%
04Dual background — Industrial Engineering & Data Science
3+Years at OMP
10+Software Impl.
4.0Master's GPA
50%Efficiency Improvement
CAREER
Professional Experience.
A track record of delivering complex supply chain solutions and leading high-performing global teams.
Research and applied engineering work from Clemson University that shaped my analytical approach.
01
Multi-Echelon Supply Chain Contract Drafting
Aug '22 – Dec '22 · Clemson University
Automated a revenue-sharing contract for MTO and MTS strategies where demand follows a single-period stochastic model. The model produces an optimal solution approaching the global profit maximum, identifying the cost-sharing threshold where all echelons achieve peak profitability.
OptimisationStochastic ModellingRevenue Sharing
02
Distribution Centre Layout Design
Aug '22 – Dec '22 · Clemson University
In-depth design of forward and reserve areas of a distribution centre — maximising SKU value per location in the forward area while minimising honeycombing and aisle waste in the reserve area. Calculated optimal forklift count and annual variable operating cost.
Facility DesignOperations ResearchCost Modelling
03
Walmart Emergency Supply Warehouse Optimisation
Jan '22 – May '22 · Clemson University
Selected optimal warehouse locations across the USA for emergency supply storage using three modelling techniques: Location Covering, Max Coverage, and p-Median. Implemented in Python with GUROBI for optimisation; visualised results in Tableau.
PythonGUROBITableaup-Median
BACKGROUND
Education & Certifications.
A multidisciplinary academic foundation spanning engineering, data science, and design.
2022
Graduate
Master of Science in Industrial Engineering
Clemson University
GPA 4.02022
Facility Planning & Design · Transportation & Logistics · Supply Chain Design & Control · Lean Six Sigma