Daniel O'Brien

Daniel O'Brien is a Group Scientist specializing in Data Science and Digital Innovation at Procter & Gamble since June 2012, with a focus on predictive modeling for Fem Care R&D utilizing Bayesian Data analysis techniques and Machine Learning. Throughout his tenure, Daniel has held various roles, including Senior Scientist positions where responsibilities included developing next-generation data applications, applying machine learning for consumer insights, and leading modeling efforts to enhance product design. Prior experience includes a Graduate Research Assistant role at the University of Cincinnati, collaborating with Procter & Gamble on advanced data analysis systems, and a Co-op position at Toyota, developing a purchasing tracking system. Daniel holds a Master of Science in Mechanical Engineering from the University of Cincinnati and a Bachelor of Science in Aerospace Engineering from Virginia Tech.