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Thomas GasqTG

Thomas Gasq

Data Scientist

€500/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Thomas

Having studied at CentraleSupélec and Paris-Dauphine University, my studies have provided me with the necessary tools to address your Data Science and Machine Learning challenges, whether it's designing predictive models, implementing optimization algorithms, or exploring and visualizing data, regardless of its structure.

My experience in consulting firms has allowed me to acquire transversal project management skills, excellent analytical and synthesis capabilities, as well as a tailor-made vision of customer relationships to constantly adapt to my interlocutors.

I am comfortable with both technical and business profiles, which allows me to easily integrate into my clients' ecosystems.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Fluent

  • German

    Conversational

  • Italian

    Conversational

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

Experience

  • BPCE Factor
    Gen AI Consultant
    January 2025 - July 2025 (6 months)
    Manager and developer of two Gen AI-oriented projects:
    - Document-based Financial Analysis automatization
    - Document-based Risk Detection enhancement
    Generative AI Data science Project management
  • Capency
    AI Consultant
    SOFTWARE PUBLISHING
    April 2024 - Today (2 years and 4 months)
    Enghien-les-Bains, France
    Development of a chatbot based on Large Language Models (LLM) to perform SQL-based Question Answering on customer data
    LLMs Data analysis Python Natural Language Processing (NLP) Algorithms
  • Jimini AI
    Data Scientist
    SOFTWARE PUBLISHING
    October 2023 - December 2023 (1 month)
    Bordeaux, France
    Worked on Natural Language Processing in an early start-up environment, including the following tasks :
    - Optimization of ranking algorithms combining OpenSearch and SentenceBERT embeddings through the LambdaRank paradigm, for document-query matching.
    - Development of an intelligent PDF Parsing pipeline to feed Large Language Model (LLM) for Retrieval Augmented Generation (RAG),
    Python Natural Language Processing (NLP) Data science Machine learning Algorithm development

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Education

  • Masters in Data Science and Mathematical Modelling, Applied Mathematics
    CentraleSupélec
    2021
    Masters in Data Science and Mathematical Modelling, Applied Mathematics
  • Bachelor of Science in Applied Economics
    Université Paris Dauphine
    2019
    Bachelor in Applied Economics

Skill set (18)

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