Yu Wu
Auto Driving System Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYu Wu is an Auto Driving System Data Scientist with a decade of experience translating complex datasets into operational impact across autonomous driving, urban planning, and procurement. With an MS in Data Science from NYU and a BS in Statistics from UIUC, he combines strong statistical foundations and engineering skills (Python, R, SQL, Git, Linux) to automate pipelines, refactor slow processes, and build visualization tools that save hours weekly. At Waymo he optimized SQL pipelines and uncovered mapping efficiency gains that raised productivity from 50% to 70%, while at inCitu he scaled an urban projects database by 150% using machine learning and automated ETL. He has shipped end-to-end solutions—from RL-driven game-level generation and C++ interfaces to deployed R-Shiny apps on Linux—demonstrating both research rigor and production discipline. Based in Brooklyn, he prioritizes data-driven operational improvements and continuous learning, often finding pragmatic fixes that prevent unnecessary work and unlock measurable efficiency.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, 3.6, Master of Science - MS, Data Science, 3.6 at NYU Tandon School of EngineeringBachelor of Science - BS, Statistics, Major GPA 3.8/4.0, Bachelor of Science - BS, Statistics, Major GPA 3.8/4.0 at University of Illinois Urbana-Champaign
Chinese, EnglishGithub contributions (5)
ZephyrCW/cusp-capstone
Jun 2022 - Feb 2023
Contributions:208 commits, 32 pushes, 1 branch in 8 months
ZephyrCW/zephyrcw.github.io
Jan 2023 - Aug 2024
Contributions:20 pushes, 4 branches in 1 year 6 months
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