Mengyue Zhao is a data scientist at Microsoft, where she develops end-to-end machine-learning solutions for various use cases in cloud computing and distributed platforms (e.g., Azure, Hadoop, and Spark). Mengyue focuses on scalable analysis, including data processing, feature engineering, feature selection, predictive modeling, and web services development. Previously, she was a data analyst at GE Digital, mainly focusing on solving machine-learning problems in the manufacturing domain. Mengyue has broad interests in machine learning, deep learning, and data mining and is passionate about harnessing the power of big data to answer interesting questions and drive business decisions. Mengyue holds a master’s degree in analytics from the University of San Francisco.
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