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Romain JaminetRJ

Romain Jaminet

💻 Data Scientist

€650/day
1 project
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Romain

💼 Freelance Consultant in Data Science, Artificial Intelligence, and Data Visualization

🎓 Graduate of the Master's in Artificial Intelligence from Paris-Saclay University, I undertake high-value-added missions, combining modeling, data analysis, and industrialization.

I have worked in various environments, including finance (Axa IM, La Banque Postale), defense (Preligens), and technological innovation (MapBrain, Explore ML @ Google).
Autonomous, rigorous, and solution-oriented, I quickly integrate into project teams or for specific AI/Data development needs.

Key Skills:

Data Science & AI: Scikit-learn, XGBoost, NLP, Computer Vision, Time Series

Machine Learning: TensorFlow, PyTorch, supervised and unsupervised models

Data Engineering & Analytics: PySpark, Dataiku, SQL, NoSQL

Data Visualization: Tableau, QlikSense

Development & DevOps: Python, Docker, Git, Linux

📈 Available for technical or functional missions, from proof of concept to production deployment.
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 10km)

Experience

  • La Banque Postale
    Data Scientist Consultant
    October 2023 - Today (2 years and 8 months)
    Intervention within the compliance team to strengthen anti-fraud and anti-money laundering measures, through data and AI solutions.

    Achievements:

    -Creation of fraud detection scenarios using machine learning.
    -Development of a graph visualization POC for AML/CFT analysis.
    -Data analysis to support compliance activities (RUN).
    -Deployment of a data quality control module with automated daily monitoring.
    -Design of QlikSense dashboards to facilitate LAT screening.
    PySpark Dataiku Qlik
  • MapBrain
    Data Scientist Consultant
    February 2023 - July 2023 (5 months)
    Complete development of a backend tool for generating mind maps from video content (meetings, training, conferences).

    Achievements:
    -Design of a POC automatically transforming audio into a web-viewable mind map.
    -Use of Whisper for audio transcription.
    -Transformation of text via GPT-4 into an exploitable tree structure.
    -Development of formatting algorithms for graphical visualization.
    -Testing and production deployment of the prototype.
  • Preligens
    Deep Learning Scientist Intern
    DEFENSE AND MILITARY
    October 2022 - April 2023 (6 months)
    Paris, France
    Project: Minerva

    Context:
    -Use of Synthetic Aperture Radar (SAR) data for large-scale site monitoring.
    -Implementation of automatic change detection and tracking of site activity history.

    Achievements:
    -Analyze and optimize the performance of the statistical algorithm used.
    -Training of several Deep Learning models for the classification task.
    -Implementation of algorithms, unit tests, and functional tests.
    -Deployment of an anomaly recognition model in production.
    Computer Vision Deep Learning SQL PostgreSQL CI/CD Git AWS Valohai

Reviews

5.0

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Education

  • Master's degree, Artificial Intelligence
    Paris-Saclay University
    2022
    Deep Learning, Machine Learning (supervised/unsupervised/reinforcement learning) Data Science, Statistics
  • Bachelor of Science in Computer Science
    University of Montpellier
    2020
    Advanced Algorithms and Computational Complexity Advanced Programming, Database & SQL, Mathematical Logic

Skill set

Categories