Etu Egbe-etu

Dr. Etu is an Assistant Professor of Business Analytics at San José State University (SJSU), part of the Department of Marketing and Business Analytics within the Lucas College and Graduate School of Business. He holds a Ph.D. in Industrial Engineering (Wayne State University, 2021), an M.S. in Industrial Engineering (2018), and a B.Eng. in Civil Engineering from Covenant University, Nigeria (2016).

His research focuses on developing use-inspired machine learning models to address challenges in healthcare, manufacturing, and transportation. Key areas include health informatics, customer feedback analytics, simulation modeling, and lean systems development. He has received the IEOM Annual Conference Best Paper Award (2020) for work in healthcare systems.

Dr. Etu teaches courses such as Statistical Analysis (BUS2 194A), Data Visualization & Exploration (BUS2 195B), and Data Visualization & Management (BUS 235E). His research spans pandemic impacts on healthcare operations, Fintech adoption dynamics, and public transit usage patterns among older adults, leveraging predictive modeling and machine learning techniques.