Francis O'donovan
Senior Staff Data Scientist
Virginia, United States
Summary
👤
Senior🎓
Top SchoolFrancis O'donovan is a Senior Staff Data Scientist with 10+ years translating advanced analytics and ML into production-grade solutions across healthcare and enterprise services, and over 15 years of broader experience shaping data science strategy and teams. He builds greenfield systems and experimentation pipelines that operationalize hundreds of models for pricing, underwriting, and risk management in value-based care, and has led initiatives that boosted model accuracy and scaled LLM/RAG assistants to near-human performance. A Caltech-trained PhD astrophysicist and former researcher who once helped discover planets, Francis pairs deep quantitative rigor with product-minded engineering, having implemented SparkML/AWS pipelines, Dockerized microservices, and reproducible QA hooks across teams. He is a recognized leader in cross-functional delivery—driving customer growth, production reliability, and institutional research capabilities—while also contributing to widely used open-source projects like pandas through documentation and to QA tooling via pre-push test integrations. Practical, inventive, and stakeholder-savvy, he excels at turning senior vision into executable plans that deliver measurable business value.
10 years of coding experience
13 years of employment as a software developer
California Institute of Technology
English
Stackoverflow
304reputation
14kreached
4answers
6questions
Github Skills (17)
restructuredtext10
pytest10
python10
git-hooks10
documentation10
testing9
pandas9
data-analysis8
markdown7
markdown-it7
configurations6
amazon-s36
plotly6
fortran6
plotly-dash6
Programming languages (18)
Github contributions (5)
sds/overcommit
Jan 2017 - Feb 2018
A fully configurable and extendable Git hook manager
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 7 PRs, 12 comments in 1 year
Contributions summary:Francis primarily contributed to the project by adding and modifying pre-push hooks to integrate with various testing frameworks. They implemented hooks for `pytest` and `nose`, both Python testing frameworks, ensuring the code passed tests before pushing changes. They also updated existing hooks for `pycodestyle` and `pydocstyle` to reflect project renaming and corrected the `MESSAGE_REGEX` for `mdl` for improved functionality. Furthermore, they added a new hook for `rst-lint` to validate reStructuredText files.
reactconfigurablehook-managergit-hooksgit-hook
pandas-dev/pandas
Dec 2015 - Jul 2016
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:Technical Writer
Technical WriterContributions:5 commits, 15 PRs, 19 comments in 7 months
Contributions summary:Francis primarily contributed to the documentation aspect of the pandas library. Their commits focused on updating and expanding examples within the documentation, specifically for time delta-related functionalities and DataFrame operations. They fixed typos, updated links to external resources, and incorporated examples from existing documentation, enhancing the clarity and usability of the documentation. These changes aimed to improve the user experience by providing more comprehensive examples and context.
pythondatalabeled-datamanipulationdataframes
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