Alaa Houimel
Senior Machine Learning Engineer at Carrefour
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolAlaa Houimel is a Senior Machine Learning Engineer based in Paris with 8 years of experience building scalable data and ML pipelines across cloud and enterprise environments. He combines an MSc in Data Science from EURECOM with hands-on expertise in big data tooling (GCP, Dask, Parquet) and production NLP workflows, having tackled large-scale patent classification and driven data strategy at Hyperlex and Carrefour. Known for meticulous engineering and a curious, continuous-learning mindset, he emphasizes sustainable, collaborative practices that bridge product goals and technical delivery. Colleagues rely on him to turn messy relational text datasets into reliable, parallelized systems that power classification and analytics at scale.
8 years of coding experience
4 years of employment as a software developer
Engineer’s Degree IT & Communication, Engineer’s Degree IT & Communication at SUP'COMPreparatory studies Mathematics and Physics, Preparatory studies Mathematics and Physics at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de TunisBachelor’s Degree Math and Physics, Bachelor’s Degree Math and Physics at Lycée Pilote de SousseMaster of Science - MSc Data Science and Engineering, Master of Science - MSc Data Science and Engineering at EURECOM
French, English, Arabic, Spanish
Stackoverflow
1reputation
0reached
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Github Skills (55)
pytorch10
evaluation10
datasets10
speech10
computer-vision10
nlp10
multiclass-classification10
multiple-linear-regression10
temporal9
reinforcement-learning9
pandas9
parallel9
prediction-model9
java9
manipulation9
Programming languages (2)
Github contributions (5)
alaameloh/Stock-Risk-Analysis
May 2018 - Nov 2020
Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regression.
Contributions:3 commits, 2 PRs, 1 push in 2 years 6 months
pythonrisksimulationvarrisk-analysis
alaameloh/Song-Recommender-System
May 2018 - Jan 2019
Contributions:2 pushes, 1 branch in 8 months
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