Janne Holopainen
Data Scientist
Arnhem, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolJanne Holopainen is a Data Scientist with 10 years of experience who blends applied machine learning (NLP and computer vision) with pragmatic software engineering to deliver production-ready models and services. Currently at Deftpower, he builds and deploys predictive systems for EV charging behavior, and previously designed sensor-fusion and MLOps pipelines for high-performance tennis tracking at Zenniz. Comfortable coding in Go, Python, R and dabbling in Rust, he focuses on testable, performant implementations and end-to-end CI/CD for ML products. His academic background from Aalto University (Master’s in ML & AI, top grades) informs a research-minded approach to practical problems, such as improving seizure detection from MEG video analysis. Colleagues know him as an experiment-driven engineer who prefers the right tool for the job and enjoys inventing previously unseen solutions in small teams. Actively seeking roles that combine hands-on experimentation with production machine learning.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Machine learning & Artificial intelligence, 4.8/5, Master's degree, Machine learning & Artificial intelligence, 4.8/5 at Aalto University
Finnish, English, German, Swedish, Italian, Spanish
Github Skills (51)
dependency-manager10
dependency-management10
fpm10
python10
packaging10
python-packaging10
package-manager10
pipeline9
kedro8
packager8
archlinux8
machine-learning8
modular7
rpmbuild7
rpm7
Programming languages (7)
Github contributions (5)
Evadeschipper/PrediChord
Mar 2020 - Jul 2022
Contributions:5 PRs, 39 pushes, 7 branches in 2 years 4 months
Manezki/CryptidSolver
May 2021 - Feb 2024
Contributions:12 pushes, 1 branch in 2 years 9 months
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