Rafael Cuperman
Data Scientist
Netherlands
Summary
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Top SchoolRafael Cuperman is a data scientist and machine learning engineer based in the Netherlands with eight years of experience applying ML to healthcare, energy, and property tech. He has moved between research and industry roles—from ML researcher at Amsterdam UMC to managing data science at Habi and now working at Eneco—demonstrating an ability to translate research insights into production solutions. Trained in biomedical and electronics engineering with an Applied Mathematics master's from Delft, he combines domain knowledge in life sciences with strong quantitative foundations. Rafael has led cross-functional teams and built data-driven products, often at the intersection of analytics, experimentation, and operationalization. Notably, his background includes both hands-on research projects and strategic data science leadership, enabling him to bridge technical depth with business impact.
7 years of coding experience
4 years of employment as a software developer
Master in Impact Through Innovation Business, Master in Impact Through Innovation Business at Universidad EuropeaMaster's degree Applied Mathematics, Master's degree Applied Mathematics at Delft University of TechnologyUniversidad de los Andes
Spanish, English, French, Hebrew, Dutch
Github Skills (19)
javascript9
symbolic-regression8
evolutionary-algorithms8
genetic-algorithm8
julia7
regression6
symbolic-computation6
initializr6
machine-learning5
data-science4
vscode4
high-performance3
automl3
distributed-systems3
ide3
Programming languages (6)
Github contributions (5)
rafaelcuperman/TensorFlow_AdvancedTechniques
Mar 2021 - Mar 2021
Contributions:19 commits, 17 pushes, 1 branch in 22 days
rafaelcuperman/compartment_initialization
Jul 2024 - Feb 2025
Contributions:49 PRs, 46 pushes, 61 branches in 7 months
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