Zecheng Chang
Data Scientist II
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolZecheng Chang is a data scientist with eight years of experience applying applied mathematics and statistics to real-world problems, currently driving analytics and NLP initiatives at Renaissance Learning in New York. He has built and productionized semantic similarity models and a Flask web app that boosted content alignment accuracy, and is proficient with Word2Vec, Universal Sentence Encoder, TigerGraph GSQL, and classic ML pipelines. His background spans hands-on projects from large-scale web scraping and text classification to CNNs for audio classification and time-series forecasting for real estate, delivering measurable business impact like 95% revenue growth and 39% conversion improvements. Comfortable moving models from prototype to production, he pairs rigorous academic training with a practical knack for feature engineering and high-performance graph analytics. An understated strength is his cross-domain fluency—bridging learning analytics, NLP, and product-focused tooling—to extract value from messy, real-world data.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Learning Analytics, Master's degree, Learning Analytics at Columbia University in the City of New YorkBachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Syracuse UniversityFordham Gabelli School of BusinessProgramming languages (1)
Github contributions (5)
5000miles/models_practice_review
Feb 2021 - May 2021
Contributions:14 commits, 3 pushes, 1 branch in 3 months
5000miles/introduction-to-functions-lab-data-science-intro-000
Nov 2020 - Nov 2020
Contributions:32 pushes, 1 branch in 1 day
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