Weibing Wang

Lead Data Scientist at FieldBox.ai

Weibing WANG is a results-driven full-stack AI/ML specialist with extensive experience in delivering scalable, production-ready solutions across various industries. Currently serving as Lead Data Scientist at FieldBox.ai since February 2020, Weibing has led the development of a security camera-based leak detection system on AWS, contributing to client expansion and revenue growth. Prior roles include Data Scientist, focusing on implementing machine learning in industry; Application R&D Engineer at Solvay, specializing in material behavior prediction; Data Analyst at orbeo / Rhodia Energy Service, where web scraping tools were developed for emissions reduction project evaluations; and Project Intern at RHODIA OPERATIONS, improving simulation accuracy through optimization techniques. Weibing holds a degree in Ingénieur civil des Mines de Paris from Mines Paris - PSL and a B.S. in Materials Science from Fudan University.

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