Geoffrey Hung
Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolGeoffrey Hung is a data scientist with 11 years of experience building end-to-end data architectures and ML systems across startups and larger enterprises, currently applying his skills at eHealth in the San Francisco Bay Area. He has designed scalable data warehouses and orchestration (BigQuery, Airflow, Kubernetes) for TB-scale datasets, implemented CI-driven data validation and BDD testing, and productionized models for forecasting and limited-sensor prediction. Geoffrey pairs strong engineering rigor—automated ETL, pytest/CI, and MLFlow-driven workflows—with product-minded analytics that have launched user-facing features and driven measurable business outcomes. Early career work in supply chain and retail analytics produced multi-million dollar impact through forecasting and process automation, reflecting his ability to translate data into operational savings. He holds an MS in Data Science and blends statistical foundations with practical software and cloud tooling to move projects from prototype to production.
11 years of coding experience
6 years of employment as a software developer
The Chinese University of Hong Kong (CUHK)Summer Study Abroad, City/Urban, Community and Regional Planning, Summer Study Abroad, City/Urban, Community and Regional Planning at University of California, BerkeleyMaster of Science - MS, Data Science, Master of Science - MS, Data Science at University of San FranciscoSemester Study Abroad, Semester Study Abroad at Zhejiang University
English, Chinese, Chinese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (48)
dynamic-programming9
data-structures8
python8
dbt-packages8
machine-learning8
jupyterlab8
algorithms8
pytorch8
data-science7
jupyter7
notebook7
tensorflow7
pipeline7
deep-learning7
computer-science7
Programming languages (6)
Github contributions (5)
G-Hung/model-productization_article
Jul 2020 - Jul 2021
This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices
Contributions:41 commits, 11 PRs, 13 pushes in 11 months
pythonjupyter-notebooknotebookjupyterlabjupyter
G-Hung/project-ark
Feb 2021 - Aug 2022
Mini serverless(?) pipeline to extract daily ARK holdings data, load data to BQ, check data quality via dbt using GitHub Actions
Contributions:126 commits, 25 PRs, 30 pushes in 1 year 5 months
datawarehousedata-checkdata-qualitypipelinedbt-packages
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