Ming Tang
About Ming Tang
Ming Tang is a Lead Data Scientist at Advanced Drainage Systems, Inc., specializing in supply chain optimization using Gurobi. With a background in Chemical Engineering and extensive experience in machine learning applications, Tang has held various engineering and leadership roles in companies such as Amresco, Pentair, and Norweco.
Work at Advanced Drainage Systems
Ming Tang currently serves as the Lead Data Scientist at Advanced Drainage Systems, Inc., a position he has held since 2023. In this role, he focuses on leveraging data science techniques to enhance operational efficiency and optimize supply chain processes. His expertise in machine learning and commercial solver applications, particularly using Gurobi, contributes to the company's data-driven decision-making strategies.
Previous Experience in Data Science and Engineering
Before joining Advanced Drainage Systems, Ming Tang held several positions that contributed to his expertise in data science and engineering. He worked at Pentair as a Product Leader in Value Improvement for one year, where he focused on enhancing product efficiency. Prior to that, he was a Senior Project Engineer at Norweco, Inc. for three months and spent seven years as a Project Engineer at the same company. His experience also includes a role as a Quality Assurance Inspector at Amresco.
Education and Expertise
Ming Tang holds a Master of Science in Chemical Engineering from Cleveland State University and a Bachelor of Science in Chemical Engineering from North University of China. His educational background provides a strong foundation for his work in data science, particularly in implementing machine learning solutions within supply chain management. His specialization in using Gurobi for commercial solver applications further enhances his capabilities in this field.
Research and Development Experience
Ming Tang has a background in research and development, having served as a Graduate Research Assistant at Cleveland State University for two years. This role involved conducting research that likely contributed to his analytical skills and understanding of complex engineering problems. His experience in academia complements his professional roles, allowing him to apply theoretical knowledge to practical applications in industry.