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Erwan D.ED

Erwan D.

Data Analyst / Expert Power BI

EUR 800/Tag
Lyon, FR
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über 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.
  • Französisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Spanisch

    Verhandlungssicher

  • Norwegisch (Bokmål)

    Grundkenntnisse

Vor Ort möglich
Lyon (bis zu 50 km)

Projekt- und Berufserfahrung

  • Vår Energi
    Digitalization Engineer & Data miner
    ENERGIE
    Juni 2022 - Oktober 2024 (2 Jahre und 5 Monate)
    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
    November 2021 - Februar 2026 (4 Jahre und 4 Monate)
    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
    November 2020 - Juli 2021 (8 Monate)
    Fontainebleau, Frankreich
    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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Ausbildung und Abschlüsse

  • 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

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