Chengwei Huang
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolChengwei Huang is a data scientist with eight years of practical experience applying machine learning and ETL engineering across academic and industrial settings. He holds a BS in Computer Science (AI option) from Oregon State and an MS in Industrial Engineering from NYU, where he produced high-accuracy churn models and translated feature importance into retention recommendations. Chengwei has built production-focused pipelines—designing a MySQL ETL for factory sensor logs and a PostgreSQL-backed searchable catalog deployed on GCP—while improving performance and observability. Comfortable with Python, R, SQL and cloud deployment, he pairs model development with pragmatic data engineering to move insights into operational systems. Notably, he has hands-on experience diagnosing timestamp inconsistencies in manufacturing logs, a detail that improved production reliability. Based in New York, he blends research rigor with a bias for shipping reproducible, scalable solutions.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Industrial Engineering, 3.78, Master's degree, Industrial Engineering, 3.78 at New York UniversityBachelor of Science - BS - Computer Science, Computer Science - Artificial Intelligence Option, 3.3, Bachelor of Science - BS - Computer Science, Computer Science - Artificial Intelligence Option, 3.3 at Oregon State University
Github Skills (4)
nodejs6
javascript5
fitness3
chat2
Programming languages (2)
Github contributions (5)
aqwefghnm/aqwefghnm.github.io
Mar 2018 - Mar 2018
Contributions:23 pushes, 1 branch in 7 days
CourseMap/MainPage
Nov 2018 - Jan 2019
Contributions:7 pushes, 1 branch in 1 month
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