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Luc RogersLR

Luc Rogers

Data Scientist Engineer | Machine learning

€450/day
Toulouse, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Luc

Data Scientist & AI Engineer based in Toulouse, I specialize in predictive modeling, machine learning, and MLOps. With experience at Air France, I designed and deployed models for flight delay prediction, time series forecasting (lounge attendance, absenteeism), and advanced business data analysis.

I master a wide range of tools and technologies: Python, Scikit-learn, TensorFlow, LightGBM, PySpark, SQL, Docker, Kubernetes, AWS, GCP, DVC, with strong experience in deploying models into production and industrializing data pipelines.

My expertise covers:

Data Science & Machine Learning: regression/classification, scikit-learn, tensorflow, clustering, NLP, computer vision, time series

MLOps & Big Data: CI/CD, monitoring, AWS, Hadoop, Spark

Data Visualization & Dashboarding: Streamlit, Spotfire, interactive dashboards

🔎 I can assist you with your applied data science projects, from data exploration to production deployment and model performance monitoring.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

Can work on-site
Toulouse (up to 50km)

Experience

  • MP DATA
    Data scientist
    AVIATION AND AEROSPACE
    June 2022 - November 2024 (2 years and 5 months)
    Assignment at Air France:
    - long-term delay prediction via quantile regression and Monte-Carlo simulations
    - traffic/baggage prediction
    - lounge attendance forecast (time series)
    - ground staff absenteeism prediction engine

    Industrialization: Docker/Kubernetes/AWS
    CI/CD: Bamboo
    Monitoring: Streamlit, Spotfire
    Docker Kubernetes Machine learning Data analysis Pandas
  • SOM Groupe ORTEC
    Fluid systems engineer
    June 2018 - July 2020 (2 years and 1 month)
    Île-de-France, France
    Responsible for the design of the RRI (Intermediate Cooling Reactor) system on the EPR2 project. Main activities:
    - 1D hydraulic modeling of the system under Flowmaster with VBA coupling to control simulation and automate post-processing
    - Functional sizing of main equipment: heat exchangers, pumps, tanks...
    - Operating choices, technical specifications, etc...
  • Roquette
    Engineering intern
    April 2017 - October 2017 (6 months)
    62136 Lestrem, France
    Optimization of hydrocyclones through CFD study with Star-CCM+
    - geometry creation
    - meshing optimization
    - two-phase flow study with Euler-Lagrange approach (RANS)
    - post-processing and validation with experimental results
    - mass balance resolution on a battery of hydrocyclones by measuring concentrations per stage

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Education

  • Data Scientist Program (RNCP Level 7 title)
    CentraleSupélec
    2021
    Parcours Data Scientist (titre RNCP niveau 7)
  • Specialization in Fluids, Energy, and Processes
    ENSEEIHT
    2017
    Spécialisation Fluides, Energétique et Procédés

Certifications

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