Jiang Zhou, Ph.D., has two decades of experience building predictive analytics solutions across industries including telecommunication, banking, insurance, and smart city. These solutions have resulted in over $200 million in savings for clients. He is a Member of Industrial Advisory Board at the University of Massachusetts Boston and the Chief Data Scientist at 慧信(Smart Credit). Previously, he was the chief statistician at Lightbridge, Inc., a vice president at Citizens Bank and a consulting member of technical staff at Oracle Inc.
Dr. Zhou has been involved in 3 head to head competitions to build the best predictive models, i.e., a customer credit risk model for a top 3 cell phone company, a bank card fraud detection model for a top 15 bank, and a direct sales model for a marketing company. Dr. Zhou's models have won all 3 competitions.
In addition to his technical skills, he is, as one of his clients put it, "a great trainer, and a good presenter of theoretical data mining concepts so that they can be understood by most". He is the author of the blog www.deep-data-mining.com that is regarded as one of the best on data analytics and data mining.
Dr. Zhou is the primary author of an award-wining scientific paper, "Using genetic learning artificial neural networks for spatial decision making in GIS" (Nov. 1996, PE & RS). His recent article, Use Big Data and Artificial Intelligence to Rationally Evaluate the Characteristic Town, is published on influential "Economic Information Daily" (in Chinese).