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Jonathan B.

Data scientist freelance

    TJM
    À partir de 450 €/jour
    Localisation
    Antibes · Full remote
    Langues
    Français, Anglais

    Disponible sous 1 mois · 0 ans d'expérience

    Compétences

    • Python5/5
    • Machine Learning5/5
    • PyTorch5/5
    • Pandas5/5
    • SQL5/5
    • TensorFlow4/5
    • Deep Learning5/5
    • NLP4/5
    • Spark5/5
    • Azure5/5

    Spécialités

    • Data Architecture
    • Graph Knowledge
    • MLOps
    • Ingénieur IA

    Expériences

    1. Data Scientist /Analyst (Sophia-Antipolis

      JBaptista Conseil · November 2024 — Present

      Research and Development: · Data science and Python development · Objective: Develop, for a major global pharmaceutical group, a · methodology for data acquisition to create an artificial intelligence · model capable of predicting the flow in a supply chain. · Gathering requirements in collaboration with the client. · Developing Python scripts and routines for data processing, · cleaning, and enhancement.

      • Python
    2. AddixGroup – Data Scientist – Python Developer (Sophia

      Antipolis · September 2020 — Present

      Developed intranet interfaces, enhanced CRM systems, and · created data visualization tools for HR. · Tools: Django, HTML, CSS, Python, JavaScript, Docker, PostgreSQL, · Git. · RAG Lab: Developed a solution to reduce hallucinations from LLMs, · created tools for data collection, and developed user interfaces for · accurate question responses. Tools: Python, API, JS, RJSF, HTML+CSS, · ChromaDB, NLP, Agile.

      • JavaScript
      • Python
      • Django
      • PostgreSQL
      • CSS
      • HTML
      • Docker
      • NLP
      • LLM
      • Data Visualisation
    3. Head of Data Science and R&D (Sophia-Antipolis

      AddixGroup · January 2021 — November 2024

      Led data science initiatives, integrating advanced data analytics and · machine learning techniques into business processes. · Managing the R&D team, overseeing research projects, and addressing · internal needs and technological surveillance around AI. · Backend development and code review for solutions. · Key Projects: · RAG Lab: Developed a solution to reduce hallucinations from LLMs, · created tools for data collection, and developed user interfaces for

      • Machine Learning
      • LLM
    4. Sorbonne Université

      PhD in Physics (Paris · October 2016 — December 2019

      Conducted research on electronic-phase engineering in one- · atomic-layer metal films on semiconductors, utilizing STM/STS and · MEB. · Presented results at international conferences and published findings · in reputed journals.

      • Université Pierre et Marie Curie

        Teaching Mission (Paris · October 2016 — September 2019

        Conducted teaching duties in various physics courses across different · undergraduate programs.

        • May 2015

          July 2015 · January 2016 — July 2016

          Studied quasi-particle interference in superconductors. · Analyzed structural and electronic properties of iron-based · superconductors.

          • Saint-Gobain Recherche

            R&D Intern (Aubervilliers · July 2014 — December 2014

            Developed non-contact measurement techniques using optical · methods to characterize molten glass properties. · Tools: MatLab, Latex, Origin, LabView.

            • February 2012

              June 2012 · August 2012 — December 2012

              Conducted tutoring in Experimental Physics, focusing on statistics, · linear regression, and measurement errors.

              • Freelance Tutor (São Paulo, Brazil

                February 2010 — December 2012