Zhiyi Huang
Golf Retail Associate
East Lansing, Michigan, United States
Summary
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Rockstar🎓
Top SchoolZhiyi Huang is a data science graduate based in East Lansing with five years of hands-on experience blending retail customer service and backend data work. Currently a Golf Retail Associate at DICK'S Sporting Goods, Zhiyi brings practical customer-facing skills and operational reliability developed earlier in hospitality roles at Life Time Inc. On GitHub they have contributed to causal-learn, implementing and optimizing core causal discovery algorithms and adding tests and bug fixes, showing a solid grasp of causal inference techniques beyond classroom projects. This mix of applied data science experience and real-world service roles gives Zhiyi a pragmatic approach to solving problems and communicating technical ideas to nontechnical audiences. Energetic and detail-oriented, they bridge the gap between algorithmic development and product-facing execution, with a demonstrated focus on code quality and maintainability.
5 years of coding experience
Bachelor of Science - BS Data Science, Bachelor of Science - BS Data Science at Michigan State University
Stackoverflow
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Github Skills (12)
algorithm10
data-structures10
algorithms10
causal-discovery10
python10
data-structure10
causal-inference10
numpy9
machine-learning9
statistics9
data-analysis8
test-automation7
Programming languages (3)
Github contributions (5)
py-why/causal-learn
Dec 2021 - Jul 2022
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:22 reviews, 16 commits, 15 PRs in 7 months
Contributions summary:Zhiyi primarily contributed to the core functionality of the causal-learn library, focusing on algorithm implementation and optimization. Their commits show changes to core files like `FCI.py`, `Fas.py`, and `GIN.py`, indicating a deep understanding of causal discovery algorithms and related utilities. The contributions included bug fixes, refactoring for clarity, and the addition of unit tests to improve reliability. Several changes related to fixing issues and updating existing code to maintain functionality.
continouspythontranslationcausaltetrad
zhi-yi-huang/causal-learn
Dec 2021 - Feb 2025
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
Contributions:55 pushes, 11 branches in 3 years 2 months
pythontranslationcausaldiscoverytetrad
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