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Erwan D.ED

Erwan D.

Data Analyst / Expert Power BI

800 €/jour
Lyon, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Erwan

I wish to involve machine learning in the industry to help people work faster and save them time to concentrate on high value added tasks. Investigate new solutions for challenging projects is part of my motivation. People qualify me as curious / explorer and determined.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Espagnol

    Capacité professionnelle complète

  • Norvégien bokmål

    Notions

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

Expériences

  • Vår Energi
    Digitalization Engineer & Data miner
    ENERGIE
    juin 2022 - octobre 2024 (2 ans et 5 mois)
    Stavanger, Norway
    - Connect to APIs, Extract Transform and Load (ETL) data into Power BI service
    - Creation of Power BI dashboard from various databases and build KPIs
    - Find missing data and clean databases
    - Referent for drilling department data and software admin
    - Training and deployment of machine learning models with Azure Machine Learning for drilling engineers
    Microsoft Power BI Microsoft PowerApps Data Analysis Data science Azure Machine Learning
  • Three60 Energy
    Drilling & Digitalization Engineer
    ENERGIE
    novembre 2021 - février 2026 (4 ans et 4 mois)
    Stavanger, Norway
    - Drilling & completion studies and projects
    - Internal digital projects
    - Data analysis studies for Norwegian Ocean Industry authority on temporary and permanently abandoned wells on the Norwegian Continental Shelf.
    - Investigation on use of cemented shoe track as a well barrier
    - Investigate application of dump flooding through crossflow wells concept on the NCS.
    - Well integrity training
    Data visualisation Data analyst Microsoft Power BI Data science
  • ARMINES
    Research Engineer
    ENERGIE
    novembre 2020 - juillet 2021 (8 mois)
    Fontainebleau, France
    Investigation of drilling vibrations identification with machine learning:
    - Extract, transform and clean the data
    - Exploration of the data with unsupervised learning et dimensional reduction techniques (t-SNE).
    - Apply computer vision techniques (attention mechanism, gradcam, etc) to drilling logs (time series) with convolutional neural networks (CNN).
    - Define a method to train machine learning algorithms on drilling logs from different wells.
    - Training neural network model to predict stick-slip vibration from rig standard surface parameters.
    CNN Deep Learning Neural Networks Machine learning Jupyter Notebook

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Formations

  • Data Analytics Bootcamp Barcelona
    Ironhack
    2020
    Data Analytics Bootcamp Barcelona
  • Bachelor of Engineering in Mechanical Engineering
    Ecole nationale supérieure d'Arts et Métiers / ENSAM
    2015
    Master's Degree, Mechanical Engineering

Certifications

Compétences

Catégories