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Antoine Luboya MbingilaAL

Antoine Luboya Mbingila

AI/Data Product Owner & Business Analyst AI

€600/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Antoine

AI Product Owner & Business Analyst AI. I support companies in transforming their business processes through Artificial Intelligence, from use case identification to production industrialization.

Over 8 years, I have led high-impact AI projects in industry, banking, and insurance: complex process automation, LLM/RAG solutions, patented predictive maintenance deployed internationally (TotalEnergies).

At APICIL, my initiatives have reduced processing times for critical business processes by up to 70%.

My dual business and technical expertise allows me to communicate with both the Executive Committee and Data Science teams, and to transform AI opportunities into concrete, adopted products that generate measurable ROI.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • apicil
    AI Product Owner / Business Analyst AI
    BANKING AND INSURANCE
    July 2025 - Today (1 year and 1 month)
    Paris, France
    Within APICIL, a social and asset protection group, I work as an AI Business Analyst and Product Owner on data transformation and artificial intelligence topics applied to insurance and customer relations (Private Banking, securities accounts, etc.).

    My role involves identifying, defining, and managing high-value AI use cases, in line with business objectives (process optimization, user experience improvement, automation, and decision support).

    My main responsibilities:
    • Gathering and analyzing needs from business teams (providence, health, savings, customer relations)
    • Identifying and qualifying AI use cases (NLP, scoring, automation, decision support)
    • Writing expressions of need, user stories, functional and technical specifications
    • Managing the product roadmap using Agile (Scrum) methodology
    • Coordinating between business, data (data scientists/data engineers), and IT teams
    • Monitoring the deployment of solutions and supporting their adoption
    • Defining and tracking performance KPIs and business impact of deployed solutions
    GenAI LLM Agile Method AI Chatbot RAG
  • NESTLE
    Data Scientist
    AGRICULTURE
    February 2025 - July 2025 (5 months)
    Genève, Switzerland
    Development of a solution for real-time calculation of several features, with complete traceability of their production for coffee pods.
    Docker Python
  • TotalEnergies
    Data Scientist & AI/Data Product Owner
    ENERGY AND UTILITIES
    September 2021 - February 2025 (3 years and 5 months)
    Nanterre, France
    At TotalEnergies Lubricants, I led strategic projects as a Data Scientist and Product Owner, contributing to the structuring of the Data & AI department of the Lubricants Studio. I developed predictive maintenance models for lubricants using data from sensors embedded in industrial engines (mining, shipping, trains, gas and diesel engines). These models optimized maintenance intervals, prevented critical failures, and generated significant savings.

    I also directed industrialization initiatives (MLOps/LLMOps), data governance (ETL, versioning, model lifecycle), and the development of generative AI solutions (RAG) on technical documentation databases, facilitating decision-making for business teams. Some projects are in the pre-commercialization phase with international clients.
    • Creation and structuring of the Data Science department within the Lubricants Studio.
    • Implementation of Agile methodology (Scrum) for Data projects.
    • Popularization of Data & AI topics for business teams.
    • Coordination of Data Science strategy, definition of roadmap and objectives.
    • Construction and monitoring of the backlog, writing user stories.
    • Facilitation of Agile ceremonies (daily, grooming, sprint planning, review, retrospectives).
    • Implementation of data/code/model versioning practices (MLOps).
    • Development and production deployment of machine learning models for internal and external clients.
    • Definition of deployment and adaptation strategies for models in evolving environments.
    • Technical interface with partner entities (Solaize Research Center, LubAnac).
    • Contribution to patentability and innovation discussions.
    • Participation in defining the technical infrastructure.
    • Writing of documents related to Research Tax Credit (CIR).
    • Supervision and mentoring of interns and apprentices.
    LLMs GenAI Agile Project Management Jira Team Coordination

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Education

  • Master of Science and Data Engineering
    University of Rouen Normandy
    2021
    Le Master SID est un Master dispensé à l'UFR des Sciences et Techniques de l'Université de Le Master SID est un Master dispensé à l'UFR des Sciences et Techniques de l'Université de Rouen Normandie et à l'INSA de Rouen. Le Master s’appuie sur l’expertise du laboratoire LITIS, et de la fédération Normastic dans les domaines de l’apprentissage automatique, de la fouille de données et du traitement du signal et des images.
  • Master of Science and Data Engineering
    INSA Rouen
    2021
    Le Master SID est un Master dispensé à l'UFR des Sciences et Techniques de l'Université de Le Master SID est un Master dispensé à l'UFR des Sciences et Techniques de l'Université de Rouen Normandie et à l'INSA de Rouen. Le Master s’appuie sur l’expertise du laboratoire LITIS, et de la fédération Normastic dans les domaines de l’apprentissage automatique, de la fouille de données et du traitement du signal et des images.

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