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Shaddy Abado is an Adjunct Associate Professor at the University of Chicago, where he teaches graduate-level courses in the MS in Applied Data Science program. With a background in aerospace mechanical engineering, obtained from the University of Notre Dame, he specializes in developing machine learning models aimed at optimizing marketing strategies and enhancing personalized experiences. His research interests encompass light-fluid interactions, aero-optics applications, and the development of data-driven solutions for equipment predictive maintenance. Beyond academia, Shaddy serves as a Lead Data Scientist at Ulta Beauty, focusing on digital transformation consulting for companies. He has presented his research at national conferences, holds patents, and has published work in peer-reviewed journals and conference proceedings. Shaddy is passionate about teaching and committed to providing insightful education to his students.
Ulta Beauty • Chicago, IL
Focusing on developing machine learning models to optimize marketing strategies and enhance personalized experiences.
Department of Philosophy