Jun Cao brings a deep and practicing knowledge of how to apply predictive analytics to solving complex business challenges in a practical manner.
She has over 10 years of industry experience in analytics consulting and research with a focus on custom analytics and problem solving, marketing mix optimization, pricing strategy and experimental design. Her deep and broad understanding of advanced statistical methodologies and approaches enables her to create practical, value-creating solutions to complex business issues. She has worked with a significant number of Fortune 500 companies with focuses on retail, energy, pharmaceuticals, financial services and CPG.
Prior to joining MMA, Jun served as a key contributor at Bristol Myers Squibb developing approaches to apply advanced statistical methodologies to drive better planning, evaluation and metrics to BMS cross-functional teams.
Jun holds a Ph.D. in Statistics from Temple University and a Bachelor’s degree in Probability and Statistics from Peking University.