Austin Ogilvie
Executive Chairman at Thoropass
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAustin Ogilvie is an entrepreneur and operator with 14 years building and scaling data and analytics companies, currently serving as Executive Chairman of Thoropass after four years as its Co-CEO. He founded Yhat (YC W15), an end-to-end data science platform acquired by Alteryx, and combines product-led go-to-market instincts with hands-on technical fluency. Based in New York, he’s an active angel investor across deep tech, mobility, energy, and fintech, backing companies from Varda Space to Pipe and contributors to multiple exits. He also contributes to open-source data visualization—adding smoothing methods and date-aware plots to the plotnine Grammar of Graphics port for Python—reflecting a practical data-science engineering background. Known as a startup troubleshooter and mentor (Techstars & ERA), he balances strategy with execution and a preference for unconventional hobbies like bluegrass and whitewater kayaking.
14 years of coding experience
9 years of employment as a software developer
Middlebury CollegeTown School for Boys, San Francisco, CABachelor's degree, Bachelor's degree at University of VirginiaW15, W15 at Y CombinatorChoate Rosemary Hall
Spanish, Arabic
Stackoverflow
6,930reputation
4.3mreached
24answers
5questions
pandas
top-1%
python
top-1%
casting
top-1%
dataframe
top-1%
Github Skills (17)
data-visualizations10
python10
pandas10
data-visualisation10
plot10
dataframe10
casting10
data-visualization10
matplotlib9
data-analysis9
statistical-models8
pip6
merge6
bash6
numpy6
Programming languages (5)
Github contributions (5)
has2k1/plotnine
Oct 2013 - Nov 2013
A Grammar of Graphics for Python
Role in this project:
Data Scientist
Data ScientistContributions:27 commits in 23 days
Contributions summary:Austin primarily contributed to the implementation of plotting functionalities within the `plotnine` library, a Python implementation of the Grammar of Graphics. Their work included adding new plot types, such as loess smoothing and bar charts, and integrating these functionalities with date-based data, demonstrating expertise in data visualization techniques. They also enhanced the library's capabilities by incorporating statistical smoothing methods (e.g., LOWESS, moving average) and providing manual color scales. These changes expand plotnine's utility for data exploration and presentation.
data-analysispythongrammar-of-graphicsgrammarplotting
hernamesbarbara/dotfiles
Feb 2014 - Dec 2022
Contributions:189 commits, 164 pushes, 2 branches in 8 years 11 months
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