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Raphael GallulaRG

Raphael Gallula

Data Scientist/Analyst – AI Engineer

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

About Raphael

Master’s Graduate in Artificial Intelligence, Systems, and Data (IASD) from PSL University – ENS, Mines Paris & Université Paris Dauphine
ranked Top 2 in Europe and Top 20 worldwide (QS/CWUR Rankings 2025)
  • French

    Native or bilingual

  • English

    Fluent

  • Hebrew

    Fluent

  • Spanish

    Fluent

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

Experience

  • Omnicom
    Freelance Data Scientist & Analyst
    TECH
    October 2025 - Today (9 months)
    Boulogne-Billancourt, France
    • Processed and consolidated Mercedes’ multi-channel marketing and financial data to build and analyze the complete
    customer conversion funnel, developed locally (VS Code) and deployed on Azure Blob (Pandas, NumPy, Azure, GCS).

    • Modeled Aldi’s email engagement data, creating KPIs and cohort analyses to track user retention and behavioral trends.`

    • Cleaned, structured, and organized Armonia’s client data, developing AI algorithms to ensure optimal data quality.
    Applied machine learning to identify opportunities and promote additional services to existing clients.
    Python Microsoft Azure Big Query Google Analytics Google Cloud Platform (GCP)
  • BNP-Arval
    Data Scientist
    BANKING AND INSURANCE
    January 2024 - September 2025 (1 year and 8 months)
    Paris, France
    • Automated reporting: standardized reports using Python, cleaned data in Dataiku, automated workflows with Control-M, and built dashboards in Tableau.

    •Development of an embedded voice assistant for vehicles, combining local speech recognition, on-device LLM, contextual dialogue management, dynamic web access, and appointment scheduling to assist drivers.
    Python Dashboard Dataiku Tableau intelligence artificielle
  • Dassault Systèmes
    Artificial Intelligence Engineering (Research)
    May 2024 - August 2024 (3 months)
    Paris, France
    "Utilizing AI for Reliability"
    • Worked on integrating CATIA with large language models (LLMs) to automate the generation of failure modes (FMs) for functions within subsystems. Contributed to optimizing result visualization, improving precision, and enhancing the comprehensive Failure Mode and Effects Analysis (FMEA) of complex systems with multiple subsystems.
    • Developed algorithms to assess the plausibility of each failure mode, enriching the LLMs with data from industry standards, public accident reports, and private datasets.
    • Proposed advanced reliability and safety studies while laying the groundwork for future full integration of the tool within CATIA.
    pyrhon intelligence artificielle Artificial Intelligence (AI) Mistral AI ML

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Education

  • MSc in AI - Data Science
    PSL University ( ENS, Les Mines Paris, Dauphine )
    2025
    MSc in
  • MSc Computer Science
    University Paris Dauphine
    2024
    MSc Computer

Certifications

  • Dataiku
    dataiku
    2025

Skill set

Categories