Michaël Karpe

Senior Data Scientist

Luxembourg
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Summary

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Senior
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Michaël Karpe is a Senior Data Scientist based in Luxembourg with nine years of experience delivering AI and ML solutions for financial services. He has progressed from quantitative development to machine learning science and now leads data science initiatives at Spuerkeess, applying production-grade models to banking problems. Trained at École des Ponts ParisTech and UC Berkeley (MEng), he blends rigorous engineering with academic depth to tackle risk, asset management, and retirement savings use cases. Known for end-to-end deployments since 2018, he pairs quantitative modeling with software engineering practices to move prototypes into production. Colleagues value his ability to translate complex financial constraints into robust, auditable ML systems.
code9 years of coding experience
job5 years of employment as a software developer
bookMaster of Engineering (MEng), Master of Engineering (MEng) at University of California, Berkeley
bookDiplôme d'Ingénieur (MSc), Diplôme d'Ingénieur (MSc) at École des Ponts ParisTech
bookClasse Préparatoire aux Grandes Écoles (CPGE), Classe Préparatoire aux Grandes Écoles (CPGE) at Aux Lazaristes
languagesRussian, German, English, French
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Stackoverflow

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1reputation
298reached
0answers
1question
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Github Skills (122)

parallel10
python10
vertex10
deep-learning10
parallel-computing10
pydata10
efficientnet10
pandas10
ml10
neural-network10
nlp10
scipy10
data-science10
reinforcement-learning10
tensorflow10

Programming languages (6)

TypeScriptC++CJavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:2 commits, 10 pushes, 1 branch in 3 months
MichaelKarpe/mylearn

Apr 2021 - Mar 2024

mylearn: my Machine Learning framework (WIP).
Contributions:3 releases, 6 PRs, 22 pushes in 2 years 11 months
pythondata-sciencedeep-learningconvolutional-neural-networkmachine-learning
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Michaël Karpe - Senior Data Scientist