Freelancer profile translated to English.

Description

Thanks to my experience in Data Science and Business Intelligence (Data Engineering) in the supply chain, transport, and retail sectors, I have developed new skills in Cloud technologies, Artificial Intelligence (AI), and customer knowledge management. These skills now allow me to work in various business areas.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Lille (up to 50km), Paris (up to 50km), Bruxelles (up to 10km)

Decathlon Digital,
Data Scientist
RETAIL (SMALL BUSINESS)
July 2025 - Today (11 months)
France
• In-store assortment optimization
◦ Improvement of an optimization heuristic with an exact algorithm (+6% revenue, -99% computation time).
◦ Industrialization of scalable and maintainable Python code, versioned on Github.
◦ Writing technical documentation for onboarding and knowledge sharing.
◦ Participation in Agile processes: user stories and backlog refinement.
◦ Tech: Python, PySpark, Pandas, Pulp, Poetry, AWS, Databricks, Air flow, Github CI/CD, Docker.
Python GitHub SQL Databricks AWS S3
Leroy Merlin,
Data Scientist/Engineer
March 2022 - January 2025 (2 years and 10 months)
France
• Supply chain forecasting and optimization
◦ Improved stock rotation through accurate forecasts, saving €18M in storage costs.
◦ Analysis and validation of DeepAR (GluonTS) results with Python and Jupyter Notebook.
◦ Building GCP data pipelines with BigQuery, Terraform, and Kestra.
◦ Deployment of anomaly detection algorithms to optimize pallet loading.
◦ Documentation of technical solutions and architecture, data quality control with Collibra.
◦ Management of production incidents: ETL, anomalies, and GCP/Kestra pipeline errors.
◦ Agile participation: sprint planning, user stories, backlog refinement, and code reviews.
◦ Tech: Python, GCP, BigQuery, Github, Docker, Kubernetes, CI/CD, Kestra, Terraform, Power BI, Looker Studio, Collibra.
Python Google Cloud Platform (GCP) Microsoft Power BI SQL GitHub
INRIA,
Research Engineer
TECH
May 2018 - March 2022 (3 years and 10 months)
Lille, France
• Supply chain and transport optimization
◦ Development of a genetic algorithm in C++ to optimize vehicle routes (Urban-Hub), containerized with Docker.
◦ Development of a column generation algorithm in C++ for daily fleet sizing (ColisWeb).
◦ Price optimization for home delivery (ColisWeb).
◦ Clustering of COVID-19 data (CHRU-Lille) for pooled testing, co-authoring scientific publication.
◦ Refactoring and optimization of HappyChic picking algorithm (Jules), +15% performance.
◦ Tech: C/C++, Java, Python, Docker, Cplex, LpSolve.
Python Java C++ Cplex Docker

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Ph.D in Operations Research (Linear Programming)
Centrale Lille
2017
Ph.D en recherche opérationnelle (Programmation linéaire)
Master in Industrial Engineering and Logistics
Université d'Artois
2014
Master en génie industriel et logistique

Kaba Keita

Data Scientist / Data Engineer

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