Engineering Practice of Data Science in Transportation and Logistics
Friday, September 2, 2022
12 PM ET – 1 PM ET
To achieve business success, decision-makers always want proper answers to three valuable questions: What happened? What will happen? What best can happen? With decades of technology development, many data-driven methods are innovated to address the above questions. These methods of converting data into better business decisions are often referred to as analytics or data Science in the industry. Differing from academia, the industry pays more attention to engineering practice and business success and develops a set of practical tools and strategies to better leverage data science capabilities. This talk is to give an overview of the engineering practice of data science in the transportation and logistics industries. In a big-picture, the contents will cover the analytics ecosystem, techniques in modeling and algorithm, required skills and tools, end-to-end implementations, business insights and priorities, and several real-world use-cases.
Mr. Yuan Wang is currently a principal data scientist at Walmart Global Technology and a Ph.D. candidate in the Department of Civil and Environmental Engineering at the University of South Florida. He received his M.S. degree (2014) in industrial engineering from the University of Florida. Mr. Wang has roughly 10 years of industrial experience in operations research, railroad, logistics, and supply chain management, with his career as the manager of operations research at CSX Transportation and the director of data science at JD.com. Mr. Wang is a passionate leader in converting data into better business decisions with extensive expertise in statistics, optimization, simulation, and machine learning and strong track records in owing data science programs end-to-end.
