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Gaétan DubucGD

Gaétan Dubuc

Turning IoT & Energy Data into Solutions

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Gaétan

Data Scientist | Expert in Machine Learning & Full Stack Development

Passionate about Machine Learning, with a specialization in Deep Learning, I am always ready to take on new challenges to optimize, automate, and deploy innovative data-driven solutions. With 2 years of experience as a Data Scientist at Veolia and my education at Epitech, I have acquired solid expertise in data processing and application development.

I primarily develop in Python, using frameworks like TensorFlow with Keras for Deep Learning. I also leverage Pandas for data manipulation and Plotly for interactive visualization.

I actively share my projects and solutions on Kaggle, where you can discover my work.
In addition to my data science skills, I am proficient in application and backend development. I develop with Flutter for mobile applications and use Golang for robust and performant backend architectures.

Key Skills:

Machine Learning & Deep Learning (TensorFlow, Keras)
Data analysis, Predictive models, and Optimization algorithms
Backend (Golang) & Mobile (Flutter) development
Data Visualization (Plotly, Power BI)
Full Stack Development and Continuous Integration
Cloud Solutions and Deployment (AWS, Docker)
I am available to assist you with your data science, automation, or custom application development projects.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Fogo
    Data scientist
    July 2022 - Today (3 years and 11 months)
    Paris, France
    Creation of time series forecasting and reinforcement learning models to control the heating times of FOGO radiators.

    Use of Tensorflow, Polars, Numpy, Docker.

    Creation of the mobile application in Flutter as well as the HTTP server in Golang for controlling FOGO radiators.

    Creation of an automatic integration chain for unit and user tests (CI/CD).
    Use of AWS, Gitlab-ci, Grafana, Traefik, Postgresql and Docker.

    Bayesian optimization of graphene deposition parameters to maximize the repeatability and reproducibility of electrical resistors.
    Python Golang Flutter Docker Machine learning TensorFlow
  • Veolia Water STI
    Data Scientist
    ENERGY AND UTILITIES
    September 2020 - July 2022 (1 year and 10 months)
    Saint-Maurice, France
    Deployment of machine learning algorithms for time series forecasting (call and email flows) under Python and Bigquery. Creation of the MLops chain for automatic integration of models in production.

    Collection of client needs and creation of descriptive and inferential indicators. Reporting under Power BI.
    Python Big Query MLOps Microsoft Power BI TensorFlow
  • Airbus
    Aeronautical Maintenance Engineer
    August 2019 - September 2020 (1 year and 1 month)
    Creation of an aeronautical maintenance management tool via Python. Creation of notebook reports on the calculation of NH90 aeronautical maintenance time.

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Education

  • Aeronautical Engineering Degree
    IPSA
    2019
    Diplôme d'ingénieur en aéronautique
  • Master's degree in Computer Science
    Epitech
    2022
    master 2 en Informatique

Certifications

Skill set (16)

Categories