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Ariel FeukengAF

Ariel Feukeng

Data Scientist Industry 4.0 | Aveva PI Expert

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

About Ariel

Data Scientist and Industrial Data Engineer with 5 years of experience in manufacturing. Specialized in Aveva PI deployment
& administration, Machine Learning, and digital transformation. Proven track record delivering compliant industrial data platforms
and generating measurable operational and financial performance gains.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lille (up to 50km), Le Havre (up to 50km), Tours (up to 50km)

Experience

  • Novo Nordisk
    Data Scientist | Administrateur SQL/Aveva PI
    PHARMACEUTICALS INDUSTRY
    January 2025 - Today (1 year and 6 months)
    Chartres, France
    Aveva PI – Deployment & Administration: Led plant-wide PI deployments; defined tag lists (PI Point List Builder); plant-wide
    PI administrator, coordinating strategy and governance with the central team.
    • PI AF, Analytics & Use Cases: Designed AF templates; configured PI interfaces, Analytics, Notifications and Event Frames;
    delivered compliant PI Vision use cases for process monitoring and batch tracking.
    • PI Training: Designed and delivered role-based training paths on PI Vision, AF, PI Analytics, Event Frames and PI Data
    Archive across operational teams.
    • SQL Server & Compliance: Deployed HA/DR solutions (Always On AGs, replication); implemented compliant stored procedures,
    alarms and audit trails.
    • Data Science & Digital: Deployed SPC, Digital Check and Process Verification use cases; developed PowerApps and Power
    BI dashboards (Databricks, AWS, Grafana, Python
    AVEVA PI (OSI PI) SQL Machine learning Analyse de données
  • Michelin
    Data Scientist | Lead Data Analyst
    AUTOMOBILE
    January 2021 - January 2025 (4 years)
    Le Puy-en-Velay, France
    Acteur clé de la transformation Industry 4.0 (usine de Blavozy), optimisant la performance grâce à la Data & Lean Manufac turing.
    • • Développement de modèles prédictifs sur séries temporelles (Python, Dataiku) réduisant de 40% les arrêts machines (gain 350kC/an) et optimisant le TRS.
    • • Réduction de 60% des défauts qualité par analyse statistique et Computer Vision (Python, Dataiku).
    • • Optimisation et automatisation des processus Supply Chain (Kanban, Flux tiré, Plan de Production) via Power Apps, Power Automate et PowerBI.
    • • Création de dashboards Microstrategy temps réel pour le pilotage de production, éliminant 25h/semaine de reporting manuel (équivalent 1 ETP).
    • • Formation de 9 Data Analysts aux outils digitaux (Aveva PI, Power Platforms, Microstrategy, Data Warehouse), ren forçant la stratégie Data Mesh de l'usine.
    • • Co-définition et déclinaison de la roadmap digitale usine et du plan progrès digital avec un taux d'exécution annuel de 95% , plus de 35 uses cases déployés et 800KC/an de gains de digitaux

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Education

  • Diplôme d'ingénieur en Informatique
    CY Tech
    2023
    Diplôme d'ingénieur en Informatique
  • Advanced SQL
    2022
    Advanced SQL

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