Principal Data Scientist
Gordon is a University of Michigan Wolverine, who has academic degrees in Applied Statistics, Software Engineering, and Economics. Using Data Science technologies to solve challenging business problems is Gordon's passion. His Data Science journey started in 2006 when he led a team of students to win the 1st prize, out of 10,000 competing teams, in the China Undergraduate Mathematical Contest in Modeling (CUMCM). In Gordon's career, he has worked on various business problems, including managing a team of data scientists to develop the core probabilistic classification model for Kinnser RiskPoint, a product that is earning millions of dollars in revenue per year. Gordon currently works as a Principal Data Scientist at Oracle.