Effy Hou is a Software Engineer specializing in Autonomous Driving at DiDi since October 2021, with prior experience as a Data Pipeline Engineer at Samsung Electronics America and a Data Engineer at Chowbus. Effy has a strong background in data analysis, demonstrated through a role as a Data Analyst II at the National Institutes of Health, where significant contributions included building ETL pipelines, developing a predictive machine learning system with XGBoost, and automating report generation to optimize hospital operations. Effy also served as a Data Scientist at CrowdDoing, working on data parsing, validation, and predictive analysis, and began a career with an analyst intern role at Sunshine Insurance Group, focusing on sales performance analysis and dashboard development. Effy holds a Bachelor of Science in Mathematics from the University of Washington and a Master of Science in Statistics with a concentration in Data Science from The George Washington University.
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