Charles Lee
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCharles Lee is a data scientist with nine years of experience applying computational science and engineering to real-world problems across advertising, automotive, and startup domains. He combines a solid chemical engineering foundation from UC San Diego and Edinburgh with an MSc in Computational Science and Engineering from TUM, enabling a rare blend of domain knowledge and advanced modeling skills. At choreograph he currently builds data-driven solutions, after shaping research-level analytics at MAGNA Global and delivering production insights at BMW Group. Comfortable moving between research and production, he has experience as a software engineer and data analyst, which helps him bridge modeling, software implementation, and operationalization. Colleagues know him for translating complex simulations and experiments into actionable products and for bringing scientific rigor to business metrics.
9 years of coding experience
3 years of employment as a software developer
Chemical Engineering, Chemical Engineering at The University of EdinburghUniversity of California San DiegoMaster of Science (MSc), Computational Science and Engineering, Master of Science (MSc), Computational Science and Engineering at Technical University Munich
English, Chinese, German, SpanishGithub contributions (2)
Rostlab/DM_CS_WS_2016-17
Dec 2016 - Jan 2017
Contributions:8 commits, 8 pushes, 1 branch in 1 month
communication
lonz/lonz.github.io
Mar 2017 - Mar 2017
Contributions:1 push in 1 day
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