Ricardo Herbonnet
Data Scientist
Netherlands
Summary
👤
Senior🎓
Top SchoolRicardo Herbonnet is a data scientist with an 8-year trajectory from PhD astronomy to industry, now applying rigorous statistical and coding skills to real-world datasets at Translink and Always Be Learning. Trained in physics and astronomy at Leiden and experienced as a postdoc at Stony Brook, he specializes in large-scale data analysis—processing gigapixel images, multi-dimensional telescope outputs and tables with 1e8 entries—to quantify subtle measurement biases. Comfortable in bash and Python, he has a record of publishing and presenting internationally and collaborating across large, international teams. He enjoys turning complex, noisy datasets into clear visualizations and actionable insight, and brings a researcher's mindset to practical data challenges in the Netherlands.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Astronomy, Master of Science - MS, Astronomy at Leiden UniversityDoctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Universiteit Leiden
English, Dutch, French, Chinese
Github Skills (5)
galaxy10
mass10
observables8
python7
testing2
Programming languages (2)
Github contributions (5)
rherbonnet/rherbonnet.github.io
Oct 2018 - Sep 2020
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:124 pushes in 1 year 10 months
templategithub-pages-templatemmistakesmistakesjekyll
rherbonnet/test-repo
May 2019 - May 2019
github testing @ group meeting
Contributions:3 pushes, 1 branch in 1 day
testinggroup-testingtesting-github
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