Addison Lynch
Product Manager at EcoCart
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolAddison Lynch is a product leader and former software engineer with nine years of experience building data-informed consumer and enterprise products from idea to launch. Based in Austin and trained at UCLA in linguistics and computer science, he combines technical fluency (Python, SQL, backend contributions to pandas and IEX Cloud tooling) with hands-on product management at startups and healthcare organizations. He led end-to-end product and analytics efforts at Dieta Health—driving modular app redesigns, clinical trial integrations, and B2B launches for partners like Procter & Gamble—then moved to EcoCart to scale product impact further. Known for improving code quality and documentation in notable open-source projects, he pairs a trader’s attention to risk with a designer’s focus on user-centered outcomes.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Linguistics & Computer Science, Bachelor’s Degree, Linguistics & Computer Science at University of California, Los Angeles
Stackoverflow
685reputation
84kreached
25answers
2questions
Github Skills (22)
develop10
restructuredtext10
python10
apidoc10
pandas10
code-completion10
codecomplete10
api10
data-extraction10
documentation10
data-analysis10
testing9
pytest9
financial-data9
finance9
Programming languages (11)
Github contributions (5)
pydata/pandas-datareader
Jan 2018 - Sep 2019
Extract data from a wide range of Internet sources into a pandas DataFrame.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 commits, 21 PRs, 137 comments in 1 year 8 months
Contributions summary:Addison primarily contributed to the implementation of a new IEX Daily Reader, which involved creating a new module (`iex/daily.py`) to extract data from the IEX Cloud API. The user also added supporting test cases and updated the main data reader to integrate the new data source. Further contributions included formatting fixes across the codebase. The user also repaired Morningstar volume for indices.
pythondatafredsecfinance
pandas-dev/pandas
Dec 2018 - Aug 2019
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, 4 PRs, 13 comments in 8 months
Contributions summary:Addison's contributions primarily focused on fixing documentation issues within the pandas library. These commits addressed flake8 errors, ensuring the documentation adheres to the project's style guidelines. The changes involved modifying reStructuredText files to correct formatting and enhance the clarity of the documentation, specifically targeting sections related to the "10min," "visualization," and "merging" areas. Furthermore, the user also addressed flake8 issues in "dsintro" documentation file.
pythondatalabeled-datamanipulationdataframes
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