Hakim Cheikh
Data Scientist
Nantes, Pays de la Loire, France
Summary
👤
Senior🎓
Top SchoolHakim Cheikh is a data scientist and engineer based in Nantes with eight years of experience building and productionizing ML solutions across transport, public sector, and enterprise clients. He has a strong track record delivering scalable pipelines and models—from map-matching and passenger-affluence forecasting for RATP to fraud and NLP proofs-of-concept at the AMF—often optimizing compute to process daily fleet-scale GPS feeds. Comfortable across Python, R and cloud stacks (AWS, Azure), he has led migrations, operationalized daily processing, and structured data science projects for long-term maintainability. His background from École Centrale de Nantes and early R&D work in computer vision and healthcare risk modeling give him both solid theoretical grounding and practical domain breadth. Known for translating research prototypes into reliable production services, he combines hands-on optimization skills with a practitioner’s focus on deployment and observability.
8 years of coding experience
4 years of employment as a software developer
Scientific baccalaureate with mathematics specialization, Spécialité Mathématiques, Baccalaureate degree with an excellent average grade (at least 16 out of 20), Scientific baccalaureate with mathematics specialization, Spécialité Mathématiques, Baccalaureate degree with an excellent average grade (at least 16 out of 20) at Malherbe High SchoolEngineer's degree, Master in Data Science & Informatics, « Sciences des données », « Informatique », « Ville Durable », Engineer's degree, Master in Data Science & Informatics, « Sciences des données », « Informatique », « Ville Durable » at École Centrale de Nantes
French, English
Github Skills (54)
lucene10
sentence-embeddings10
multilingual10
sentence10
electra10
word-embeddings10
information-retrieval10
similarity10
solr10
java10
roberta10
nlp10
backend10
sentence-similarity10
nosql9
Programming languages (5)
Github contributions (5)
OSS-Pole-Emploi/embcompare
Nov 2022 - Dec 2022
A simple python tool for embedding comparison
Contributions:1 release, 3 reviews, 16 commits in 1 month
nlpstreamlit-dashboardpythonpypi-packageembeddings
h4c5/adventofcode
Dec 2023 - Dec 2024
Contributions:15 pushes in 1 year
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