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Raphael GallulaRG

Raphael Gallula

Data Scientist/Analyst – AI Engineer

550 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de 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)
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Hébreu

    Capacité professionnelle complète

  • Espagnol

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Omnicom
    Freelance Data Scientist & Analyst
    HIGH TECH
    octobre 2025 - Aujourd'hui (8 mois)
    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
    BANQUE & ASSURANCES
    janvier 2024 - septembre 2025 (1 an et 8 mois)
    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)
    mai 2024 - août 2024 (3 mois)
    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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Formations

  • 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

Compétences

Catégories