Daniel Prentice

Daniel Prentice is a seasoned data science professional with extensive experience in leading teams and delivering impactful data-driven solutions. Currently serving as the Director of Data Science for Transactional Pricing at C.H. Robinson, Daniel has significantly contributed to a growth in Adjusted Gross Profit by over 50%, adding approximately $60M to the company's bottom line in just eight months. Previous roles at C.H. Robinson include Director of Data Science for the LTL Segment and Principal Data Scientist, where Daniel developed and deployed data science models to drive business growth. With a strong academic background, including a PhD in Statistics from the University of Minnesota and a BA in Mathematics and Statistics from Grinnell College, Daniel's expertise extends to consulting and teaching, having served as a Data Science Consultant, Graduate Instructor, and Data Scientist at various prestigious organizations.