Abbas Chokor has integrated emerging data-driven solutions in multiple industries. As a staff data scientist at Seagate Technology, Abbas unlocks the value of industrial and manufacturing data through leading edge science while mentoring uprising data scientists. Before Seagate, Abbas was a lead data scientist at First Solar, Siemens, and Schlumberger, where he built advanced machine learning algorithms to detect and predict the failure of complex assets, including solar panels, trains, and Oil & Gas surface machines. Abbas earned his Bachelor of Engineering in Civil and Environmental Engineering with a minor in industrial engineering, a M.S. in sustainable engineering, and a Ph.D. in data analytics and mining from Arizona State University. Abbas’s research focused on developing state-of-the-art solutions in the field of Prognostics and Health Management (PHM) and has been published in 14 journal and conference academic papers.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.