Kevin Jiang is passionate about the power of data to illuminate how and why consumers make their decisions.
At Scientific Revenue, Kevin builds user behavior models and analytics infrastructure to drive dynamic pricing, revenue and user acquisition. Coming from a background in applied microeconomics, he believes that the intersection of economics and data science provide unparalleled insights into the choices of consumers in the virtual economy.
Kevin earned his B.A. in Economics from the University of Chicago and his M.S. in Operations Research from Columbia University.