Arash Beheshtian is a seasoned Data Scientist and Operations Research Expert, with over 18 years of experience in engineering consulting. A passionate leader, he uses his expertise in logistics, retail, and data analysis in delivering strategic, operational, and technical advice to a diverse range of businesses, including Fortune 500 companies, traditional retailers, and ecommerce enterprises.

Arash’s multidisciplinary background and problem-solving acumen have been instrumental in optimizing supply chains and designing data-driven frameworks for complex business models. With a knack for Descriptive, Diagnostic, Predictive, and Prescriptive analytics, he has demonstrated exceptional abilities in developing, optimizing, and perfecting quantitative tools to tackle real-world challenges.

As an adjunct professor at Columbia University, Arash shared his extensive knowledge and hands-on experience with graduate students, teaching them the intricacies of supply chain and risk management engineering. His educational journey includes a Ph.D. in planning from Cornell University and post-doctoral fellowships at both MIT and Cornell, where he conducted research on transportation systems, logistics networks, and optimization models.

Arash has made substantial contributions to the fields of supply chain analytics and microeconometrics, with over 30 peer-reviewed articles and books under his belt. A system thinker at heart, Arash thrives in fast-paced, high-volume environments.