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Erwan D.ED

Erwan D.

Data Analyst / Expert Power BI

€800/day
Lyon, FR
8-15 years

Average response time: 1 hour

About 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.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Fluent

  • Norwegian Bokmål

    Basic

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

Experience

  • Vår Energi
    Digitalization Engineer & Data miner
    ENERGY AND UTILITIES
    June 2022 - October 2024 (2 years and 5 months)
    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
    ENERGY AND UTILITIES
    November 2021 - February 2026 (4 years and 4 months)
    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
    ENERGY AND UTILITIES
    November 2020 - July 2021 (8 months)
    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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Education

  • 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

Skill set

Categories