SF

Scott Fullman

Machine Learning Research Lead at Ascent

Scott Fullman has a wealth of work experience. From 2004 to 2018, they held roles at Motorola, Clarity Communication Systems, Diamond Management and Technology Consultants, PricewaterhouseCoopers, and Tribune Publishing Company. Theirmost recent role is Machine Learning Research Lead at Ascent RegTech, a position they have held since 2018. From 2017 to 2018, they were the SVP - Data Solutions at Tribune Publishing Company. From 2010 to 2017, they were the Director - Analytics Innovation Lab at PricewaterhouseCoopers, where they led the Analytics Innovation program, a team of data scientists focused on commercializing the latest data analytics tools and techniques. Scott also created new products and differentiated service offerings for PwC and its clients. From 2007 to 2010, they were an Associate at Diamond Management and Technology Consultants. From 2006 to 2007, they were a Product Manager at Clarity Communication Systems. Finally, from 2004 to 2006, they were an Intern at Motorola.

Scott Fullman has a Master of Business Administration (M.B.A.) in Econometrics and Statistics from The University of Chicago Booth School of Business, as well as a BS in Systems Engineering from the University of Illinois Urbana-Champaign.

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