Soheyl Zehtabiyan
Principal Operations Research Scientist @XPO
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WORK HISTORY
Principal Operations Research Scientist @XPO
Leveraging the cutting-edge Operations Research techniques to develop efficient strategies for the variety of large-scale transportation and logistic networks such as Line-haul, LTL and FTL networks. • Continuous collaboration with leadership team to understand the ongoing business challenges to provide the insights driven by the in-house decision support models and tools. • Developed innovative prototypes and experimental models to explore and validate optimization-based and simulation-driven systems, contributing to research efforts and advancing solution frameworks for complex challenges.• Responsible for comprehensive modeling: from research and design conception, through proof-of-concept, solution benchmarking, testing, delivery, and ongoing solution support and enhancements.• Conduct in-depth data analysis to gain insights and identify optimization opportunities in transportation data.
EDUCATION
TOBB Ekonomi ve Teknoloji Üniversitesi
Master’s Degree, Industrial Engineering
The University of Alabama
Operations Management-Decision Analytic
University of Tabriz
Bachelor's degree, Industrial Engineering
SKILLS
ABOUT SOHEYL ZEHTABIYAN
Experienced operations research scientist with broad and deep knowledge of mathematical models for end-to-end supply chain network optimization. Solid hands-on and research background and proven track record in developing the models and algorithms for a wide range of supply chain areas such as network design and network planning, transportation optimization, production planning, and assortment optimization. Diverse experiences in leveraging the large data sets for building and implementing OR models such as linear, integer, and MIP models, heuristics and metaheuristics, and network flow algorithms for large scale business problems. Strong reporting skills to bridge cross-functional communication and experienced in communicating technical topics to leadership and stockholders with different roles and backgrounds.Major technical tools: CPLEX, Python, Java, MS SQL Server, Alteryx, Blue Yonder(JDA) Transportation modeler: TMOD
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