Mina Rafla - Data Scientist

Mina Rafla

Data Scientist

Greater Paris Metropolitan Region France

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Summary

👤

Senior

🎓

Top School

Mina Rafla is a data scientist with a PhD in Computer Science and nine years of experience applying machine learning in industry and research across France. He developed new Bayesian decision tree and random forest methods for heterogeneous treatment effect estimation during a doctoral stint at Orange Labs and Université de Caen, and created a Python library for parameter-free uplift modeling. Mina combines strong academic grounding (PhD, MS in Data Science) with practical product experience, now contributing to data science initiatives at autobiz France. He has a background in computer engineering and has moved between lab research and production-focused roles, which helps him bridge novel algorithms and deployable solutions. An aspect that sets him apart is his focus on Bayesian feature selection and discretization techniques tailored for uplift and treatment-effect problems, not commonly found in standard ML toolkits.

9 years of coding experience

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Caen Normandie

Bachelor's degree, Computer Engineering and Software Systems, Bachelor's degree, Computer Engineering and Software Systems at Ain Shams University

Collège De La Salle

Master's degree, MS, Data Science, Master's degree, MS, Data Science at Polytech Nantes

English, French, Arabic

Github Skills (11)

pointer6

summarization4

natural-language-processing3

random-forest2

nlp2

classification2

acl2

regression1

machine-learning1

python1

feature-engineering1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

MinaWagdi/UMODL

Jul 2022 - Jun 2024

Contributions:1 PR, 11 pushes in 1 year 11 months

keronagy/WireSharkProject

Dec 2017 - Dec 2019

Contributions:16 pushes, 2 branches in 2 years

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