Results-oriented logistics and supply chain professional with proven expertise in streamlining operations, optimizing inventory management, and leveraging data analytics to drive efficiency and cost savings. Skilled in using tools like Python, Tableau, and SAP to enhance decision-making processes. Adept at improving operational workflows, ensuring accurate demand forecasting, and fostering strong vendor relationships.
Global Grad Orientation Project, Remote, Team Lead, 10/01/24, 11/01/24, Led a diverse team of 10 students to create content for the 'Understanding U.S. Culture' orientation, resulting in a higher satisfaction rate among upcoming international graduate students. Managed weekly meetings and coordinated tasks, improving project efficiency by 30% and ensuring the completion of all deliverables in time. Developed and implemented a needs analysis strategy, identifying key cultural adaptation areas, leading to an increased engagement with orientation materials. Academic Projects, St. Louis, MO, USA, 08/01/24, 04/01/25, Automobile Industry's Pricing Strategy Analysis: analyzed Porsche's pricing strategy to understand premium pricing models and market positioning. Conducted loan acceptance analysis using Nomis case studies, building logistic regression models in Python and R to evaluate the impact of APR, loan term, FICO score, and competition rate on loan approvals. Conducted an in-depth analysis of the Too Good to Go business model, pricing strategies, and market challenges in the surplus food industry. Collaborated with a team to optimize supply chain processes for Operation Food Search, a non-profit organization, focusing on improving inventory management and distribution efficiency to enhance food accessibility for underserved communities.