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Guillo ClémentGC

Guillo Clément

Data scientist/ ML-Engineer Full-Stack - ENSAE

€500/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Guillo

Specializing in Machine Learning and computer vision, I offer my skills for demanding and innovative projects. I hold an engineering degree from ENSAE and a Master's degree in Mathematics, Visualization, and Learning from ENS.

Key Skills:

- Satellite image processing, geographic information systems (GIS),
- Implementation of model training and monitoring pipelines.
- Natural Language Processing (NLP), LLMs, RAG implementation
- Development and Deployment: Application deployment on Kubernetes, full-stack web development
- Statistical analysis, conducting statistical studies.

Typical Projects:

- Statistical analyses, dashboard implementation with KPIs.
- Provision of a building detection model on satellite images: from model training/monitoring to making its capabilities available on dynamically displayed images via a web application.
- Deployment and management of containerized applications on Kubernetes.
- Creation of complete web solutions, from front-end to back-end.


My approach combines solid technical expertise with the ability to deliver end-to-end solutions, from design to deployment.

If you are looking for a professional capable of supporting you in innovative projects in AI, image processing, or application development, do not hesitate to contact me to discuss further.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • INSEE- Guadeloupe
    Head of Statistics Department
    September 2023 - Today (2 years and 9 months)
    Guyana
    - Management of INSEE agents, overseeing the coordination and execution of field operations for surveys
    - Development and application of deep learning algorithms for population census by processing thousands of satellite images of overseas territories (including Reunion Island and Mayotte)
    - Development of a web application to visualize and interact with segmentation model results to support population census estimates
    - Streamlining and automating production practices, coordinating all local teams
    - Design of an R training program, aimed at improving the skills of about twenty agents

  • INSEE
    Head of Section: Spatial Statistics Methodology and Statistical Secrecy
    September 2020 - August 2023 (2 years and 11 months)
    Paris, France
    - Management of a team of 4 people and supervision of 3 interns specializing in satellite image analysis
    - Development of deep learning segmentation models achieving high accuracy in satellite image segmentation for land cover detection
    - Direction of the redesign of a geocoding system impacting 30 million address records
    - Design and implementation of an algorithm to ensure grid data privacy across France, handling differencing attacks and enabling large-scale data dissemination
    - Supervision of statistical disclosure control for 10 annual public INSEE surveys
    - Collaboration with European countries within working groups to harmonize spatial analysis and statistical disclosure control methodologies at the European level

    Pytorch Data analysis Data science Data visualisation Project management
  • westat
    Data Science
    July 2019 - September 2019 (2 months)
    - Analysis of imbalanced datasets to estimate occurrences of rare fish catches in recreational fishing on the US East Coast.

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Education

  • Master Mathematics Visualization and Learning
    ENS Cachan
    2020
    Machine-Learning, Deep Learning, Computer Vision
  • Engineering degree
    ENSAE
    2020
    Data-science, Programmation (Python, R, C++), Machine-learning, Deep-learning

Skill set

Categories