Corné Vriends
Data Scientist
Rotterdam, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolCorné Vriends is a data scientist with eight years of experience applying Frequentist and Bayesian statistics, machine learning and deep learning to real-world problems, currently working at Eneco in Rotterdam. He holds an MSc in Econometrics & Management Science and has blended academic rigor with practical experience from internships at Heijmans and General Electric and an earlier analytical role in credit intelligence. Corné has practical ML competition experience (including the Human Protein Atlas challenge) which informs his pragmatic view of model strengths and limitations and his enthusiasm for translating cutting-edge methods into production-ready solutions. He thrives on staying current with evolving frameworks and libraries, pairing theoretical depth with a hands-on focus on business impact.
8 years of coding experience
Premaster, Premaster at Rotterdam School of Management, Erasmus UniversityBachelor of Science (BSc), Bachelor of Science (BSc) at Hogeschool van Arnhem en NijmegenPremaster, Premaster at Erasmus Universiteit Rotterdam
Dutch, English
Github Skills (36)
shapely8
cartography8
ide8
jupyterlab8
openstreetmap8
draw8
jupyter7
generative-art7
overpass-api7
openstreetmap-data7
python7
docker7
jupyter-notebook7
maps6
machine-learning6
Programming languages (4)
Github contributions (5)
cavriends/tvp_vars_vb
Jun 2020 - Mar 2021
Contributions:44 commits, 1 push, 1 branch in 8 months
cavriends/dotfiles
Sep 2022 - Jan 2023
Contributions:45 pushes, 1 branch in 4 months
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