Dan Frank
Staff Data Scientist
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Frank is a Staff Data Scientist in San Francisco with 13 years of experience building large-scale data products that combine causal inference, machine learning, and engineering to drive measurable business impact. He originated and scaled Coinbase’s Experimentation and Metrics Platform and led experimentation and infrastructure efforts at Airbnb, bringing deep expertise in variance reduction, meta-analysis, and metric governance. Comfortable toggling between research and production, he has a strong academic foundation (MS/PhD-level training at Stanford) and a history of turning statistical theory into robust tooling and processes. An active full‑stack contributor to open-source projects like Airbnb’s knowledge-repo, he blends product intuition with hands‑on code, from backend services to data visualization automation. Notably, his background spans actuarial and quantitative roles in climate and finance, giving him an uncommon fluency in risk, measurement, and reproducible analytics.
13 years of coding experience
12 years of employment as a software developer
B.S., Applied Mathematics (emphasis in Statistics & Economics), Cumulative GPA: 3.92, Applied Mathematics GPA: 3.97, B.S., Applied Mathematics (emphasis in Statistics & Economics), Cumulative GPA: 3.92, Applied Mathematics GPA: 3.97 at University of California, BerkeleyM.S., Ph.D, Computational Mathematics & Engineering, Cumulative GPA: 4.07, M.S., Ph.D, Computational Mathematics & Engineering, Cumulative GPA: 4.07 at Stanford University
Spanish
Stackoverflow
1,907reputation
235kreached
9answers
1question
pandas
top-5%
python
top-5%
Github Skills (25)
python10
flask-ask10
web-development10
flask10
pandas9
css9
knowledge-management9
knowledge-graph9
html9
javascript8
data-science8
data-set7
data-model7
user-data7
data-analysis7
Programming languages (9)
Github contributions (5)
airbnb/knowledge-repo
Sep 2016 - May 2019
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:60 commits, 66 PRs, 74 pushes in 2 years 8 months
Contributions summary:Dan primarily contributed to the web interface and backend functionalities of the knowledge-sharing platform. They implemented distinct view counts in the feed, fixed preview post bugs, and modernized the IPython notebook template. Additionally, they refactored web editor code, fixed tag page issues, and enabled proxy post features with links to the original source. The user also worked on various email and URL-related improvements.
scientistsnext-generationdata-analysisdatadata-science
danfrankj/incubator-airflow
Sep 2016 - Aug 2019
Apache Airflow (Incubating)
Contributions:4 pushes, 1 branch in 2 years 11 months
incubatingemrapachebig-dataspark
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