Caroline Rhomberg

Supply Chain Technology Consultant with 3+ years of experience in Life Sciences supply chain planning, optimization modeling, and data pipelines. Experienced in configuring and deploying Advanced Planning Systems (OMP) for global pharmaceutical clients, working at the intersection of data, algorithms, and real-world operational constraints. Adept at translating complex supply chain challenges into customized, technology-driven solutions while collaborating closely with stakeholders.

Keen to expand upon my academic foundation in AI and machine learning within supply chain.

Lead Supply Chain Technology Consultant - OMP - Antwerp, Belgium

(2022-11 - 2025-12)

• Delivered end-to-end implementation of OMP Life Sciences Inventory Optimization, Demand Planning, and Reporting solutions, spanning requirements gathering, technical design, development, testing, and go-live support for pharmaceutical client Roche
• Developed custom lot-size optimization algorithms for Drug Substance and Finished Goods (CPG) production, incorporating complex manufacturing and regulatory constraints such as shelf life and governmental minimum production; integrated in OMP
• Reduced safety stock recommendations by 19% on average through multi-echelon inventory optimization, improving inventory efficiency while maintaining service levels
• Developed automated ETL pipelines and deployed ML models to improve optimization parameter estimates from master data
• Developed a custom inventory report and decision support system, enabling users to find gaps and publish safety stock policy
• Led weekly meetings and on-site design workshops with the Roche Global Inventory Lead and team to gather requirements, provide status updates, and advise on user adoption; successfully rolled out IOP app to 300 users and ~17 custom features
• Managed team of 3 consultants and solution architect; coordinating project timelines and communication with client

Software Engineering Intern, Yield Strategy Intern - ArcBest - Fort Smith, AR, USA

(2018-12 - 2020-08)

• Developed application in .NET that enabled allocation of marketing budget & did data analysis to identify factors causing churn

Supply Chain Analyst Intern - Dillard's - Little Rock, AR, USA

(2018-05 - 2018-08)

• Developed a cyclical replenishment algorithm in Python which tracked demand in stores, predicted sales, and solved an inventory optimization problem via Gurobi (Python) to optimally allocate inventory to a set of stores

Master of Science - Industrial Engineering & Operations Research - University of Ghent (2022-10 - 2022-10)

Bachelor of Science - Industrial Engineering - University of Arkansas (2020-05 - 2020-05)