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Patrick ImbaultPI

Patrick Imbault

BI Data Scientist

€650/day
Paris, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Patrick

As a passionate Data Scientist, AI Expert, and Business Intelligence specialist, I am committed to bringing innovative ideas to life by leveraging the full power of data and AI. My expertise focuses on designing intelligent frameworks based on AI agents, enabling operational optimization, process automation, and the generation of decisive insights to enhance organizational efficiency and inform strategic decision-making.

Throughout my career, I have successfully led projects aimed at transforming complex data into high-value operational information. With a strong command of the Microsoft data platform, from the MS BI Stack to Microsoft Fabric, I design and implement comprehensive analytical solutions that are technically reliable and aligned with the company's strategic objectives.

I particularly enjoy close collaboration with teams to prototype, develop, and deploy intelligent analytical solutions. My ambition is to enable organizations to fully leverage their data assets, making every insight relevant and impactful.
  • French

    Native or bilingual

  • English

    Native or bilingual

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

Experience

  • OpenAI consultant
    Agency
    ENVIRONMENTAL
    March 2025 - Today (1 year and 3 months)
    Londres, United Kingdom
    LLM, RAG, Agentic Design & MCP - Generative AI, automation, and operational performance
    Team Management Data Science Project Management Change Management Innovation
  • Mettler Toledo France
    BI Initiator
    October 2019 - April 2020 (6 months)
    Design and development of the first Power BI reports Implementation of a central semantic model and data set governance Training of teams and knowledge transfer for self-service BI Support for publishing lightweight reports and best practices
  • SafetyCulture
    Lead Reporting and Analytics Architect
    June 2016 - December 2018 (2 years and 6 months)
    Architect of the reporting engine and consultant in End-to-end optimization of report generation: model, queries, scheduling, caching, parallelization Improvement of accuracy: normalization of calculations, consistency tests, source traceability Acceleration of rendering times: partitioning, incremental refresh, query optimization Implementation of service indicators: latency and quality objectives, observability and alerts

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Education

  • Engineer
    Supinfo
    1988
    Mémoire d'ingénieur : Réseau TCP-IP
  • MIT degree
    Massachusetts Institute of Technology
    2018
    Data Science

Skill set (36)

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