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About Eliel

Transform your data into a growth lever

Data is a sometimes untapped goldmine. My goal? To transform your data into growth levers through advanced analytics and machine learning.

How can I help you?

✅ Data collection and cleaning – Structuring and preparing data from various sources.
✅ Analysis and visualization – Identifying key trends for informed decisions.
✅ Machine learning algorithm development – Automating analysis and improving predictions.
✅ Results communication – Clear and educational reporting, adapted to all profiles.
✅ Optimizing data exploitation – Implementing tailor-made solutions to maximize data value.

Why work together?

Passionate about the impact of data, I put my technical and analytical skills at your service to turn your challenges into opportunities.

Want to unlock the full potential of your data? Let's talk!
  • French

    Native or bilingual

  • English

    Native or bilingual

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

Experience

  • Nile
    Data Scientist/ Engineer
    CONSULTING AND AUDITS
    August 2025 - Today (1 year)
    Valence, France
    Leading and executing technical projects end-to-end, from business needs definition to production deployment. Designing data integration solutions between systems (CRM, ERP, business applications), data pipelines, and AI agents to automate processes and improve clients' operational performance.

    Main tasks:
    - Bidirectional synchronization between CRM (HubSpot), ERP, and Monday on approximately 10 business entities, with refresh frequencies from 15 minutes to weekly depending on the flows.

    - Implementation of a medallion architecture (bronze/silver/gold) ensuring data quality: 3 API extraction flows → Azure Data Lake Storage, 3 transformation flows, and 3 loading flows to Azure SQL Database.

    - Building data warehouses and semantic models on Microsoft Fabric, automated via Python scripts and cron scheduling.

    - Designing Power BI dashboards (margin tracking, profitability, operational KPIs) from consolidated data.

    - Implementing secure, governed, and scalable data architectures, and translating business needs into technical solutions.

    - Production deployment of ML models and deployment of AI agents/RAG solutions (conversational assistants, document automation), powered by AI-ready data pipelines.
    Python Programming Microsoft Azure Extract, Transform, Load (ETL) Hubspot SQL
  • Maël Physio Coach Run
    Web Development
    HEALTH AND WELLNESS
    March 2025 - April 2025 (1 month)
    Bourgoin-Jallieu, France
    Description:
    Development of a static, responsive landing page, optimized for performance, dedicated to presenting the services of a physiotherapist-sports coach specializing in running/trail.

    Tasks:
    • Creation of a front-end web application with Next.js (React).
    • Integration of the responsive graphical interface using Tailwind CSS.
    • SEO optimization for natural referencing and web accessibility.
    • Automated continuous deployment via Vercel.
    • Configuration of custom domain name and SSL installation (HTTPS).
    • Testing and optimization of website performance (Core Web Vitals).

    Technical Stack:
    Next.js, Tailwind CSS, Vercel, Git/GitHub

    Link:
    https://maelphysiocoachrun.fr/
    React.js JavaScript
  • Centre Léon Bérard
    Data Scientist
    MEDICAL
    February 2023 - June 2024 (1 year and 4 months)
    Lyon, France
    Description:

    Prototyping, design, training, and optimization of machine learning algorithms with NLP (RAG) and computer vision, applying MLOps best practices. Collaboration with external partners for access to real data. Use of analysis, visualization, and storytelling to design and deliver high-impact AI tools.

    Tâches:
    - Automation of patient data processing flows in Molecular RCP (~10 patients/week), increasing the volume of actionable results for diagnostic assistance.

    - Development of PDF data extraction and reconciliation of heterogeneous sources (PDF, text reports, patient database); management of a NoSQL database on the hospital server.

    - Leading the implementation of the CGI Clinics tool and evaluating its performance, presented to European members of the CGI Clinics consortium.

    - Cross-functional collaboration with biologists, oncologists, and bioinformaticians for the transmission and interpretation of results.
    Natural Language Processing (NLP) Machine learning Data science Python Programming Project Management

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Education

  • Specialization in Artificial Intelligence
    CNAM
    2025
    Outils mathématiques pour l'optimisation, intelligence artificielle avancée, intelligence artificielle pour les données multimédia
  • Master in artificial intelligence & management
    IA school
    2022
    Algèbre linéaire, Statistiques, Probabilité, Python (Numpy, Pandas, Matplotlib, Sklearn), Talend OS, Big DATA (HADOOP, Pig, Hive, PySpark), Machine Learning, NLP, Computer vision, Modélisation de série temporelle, Gestion de projet, Design Thinking.

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