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Jing Ping is a Data Scientist with CBRE Econometric Advisors. She is primarily responsible for developing large commercial real estate datasets and a suite of risk tools to be used throughout CBRE and the commercial real estate business.
Jing has a strong background in data science and machine learning; she worked as data scientist for the Huffington Post prior to joining CBRE. Jing built predictive models and machine learning tools for a wide range of big data projects.
Jing holds a bachelor's degree with a triple major in Economics, Mathematics and Statistics from The University of Minnesota Twin Cities and a master's degree in Data Science from the Center for Data Science at the Courant Institute of New York University.