Paul Zhutovsky
Senior Data Scientist
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolPaul Zhutovsky is a Senior Data Scientist with a decade of experience bridging academic neuroimaging research and production-grade analytics. Currently at ING, he applies advanced machine learning and risk/pricing expertise informed by a PhD in Machine Learning in Neuropsychiatry from Amsterdam UvA, where he built predictive models from structural and functional MRI to forecast treatment outcomes. His background includes productionizing models at a Berlin startup (EyeQuant) and postdoc work at the Max Planck Institute, giving him both rigorous scientific instincts and practical deployment skills. Known for tackling noisy, high-dimensional biomedical data, he brings a rare combination of psychiatric domain knowledge and enterprise analytics fluency based in Amsterdam.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning in Neuropsychiatry, Doctor of Philosophy - PhD, Machine Learning in Neuropsychiatry at UvAMaster of Science - MS, Computational Neuroscience, 1.0, Master of Science - MS, Computational Neuroscience, 1.0 at Technische Universität BerlinBachelor of Science - BS, Cognitive Science, 1.1, Bachelor of Science - BS, Cognitive Science, 1.1 at Universität Osnabrück
German, English, Dutch, Russian
Github Skills (27)
tree-model9
imputation9
bids9
classifiers9
binary-classification8
neuroimaging8
intervention8
brain-imaging8
theano8
image-processing8
expressions8
preprocessing7
statistics7
pipeline7
iml7
Programming languages (2)
Github contributions (5)
DeepBrainhackers/DeepPsychNet
Mar 2017 - Jun 2017
Contributions:108 commits, 94 pushes, 1 branch in 3 months
PaulZhutovsky/probatus
Mar 2022 - Jun 2024
Validation of binary classifiers and data used to develop them
Contributions:5 pushes in 2 years 3 months
pythonmachine-learningclassifiersvalidation
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