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Mohcine E.ME

Mohcine E.

Data Scientist | Python Developer

On-demand
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mohcine

Data Scientist and Data Engineer at EDF, graduated from CentraleSupélec, specializing in machine learning and NLP. Notable experience in developing data-driven solutions at EDF and Enedis.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

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

Experience

  • EDF R&D-Site de Saclay
    Research Engineer
    ENERGY AND UTILITIES
    October 2021 - Today (4 years and 8 months)
    91120 Palaiseau, France
    - Reliability, Availability, and Interoperability of Smart Electrical Grids
    - Electric Mobility
    - Linky PLC Metering
    - Crisis Management
    - Detection of Distribution Network Equipment by Image Recognition (CIRED2023)
    - Digital Twin of EDF's IS
    - Analysis of Mechanical Schematics of Nuclear Power Plants
    - LLMs + QA Retrieval with Embeddings to Build a Conversational Question-Answering Agent with Research Papers.
    - Anomaly Detection and Reliability Study on BESS (Battery Management Systems).
    Electrical Engineering Data Analysis Data visualisation Data science
  • EDF R&D-Site de Saclay
    Apprentice Research Engineer
    ENERGY AND UTILITIES
    September 2019 - September 2021 (2 years)
    Paris, France
    - Anomaly detection from images of the overhead medium voltage network using a convolutional neural network (Yolov3).
    - Prediction of the number of customer outages during storms
    Deep Learning CNN Computer Vision Reliability
  • Enedis (ex ERDF)
    Apprentice Engineer
    ENERGY AND UTILITIES
    October 2018 - September 2019 (11 months)
    Angers, France
    Detection of disruptive customers at the medium voltage/low voltage substation level
    unsupervised learning kmeans

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Education

  • General Engineer Diploma
    CentraleSupélec
    2021
    Un programme général qui permet d'ouvrir les yeux sur tous les domaines de la physique, informatique et mathématiques. Cours abordés : - Convergence, Lebegues measure et Probabilities - Statistics and Machine learning - Partial Derivative Equation - Quantum physics - Autonomous vehicles - Control Theory - Machine Learning - Advanced probabilities - Artificial intelligence - Advanced statistics - Optimisation
  • 2 years preparatory classes for Grandes Écoles
    Lycée Georges Cabanis
    2018
    Des cours intensifs sur diverses domaines (maths, optique, électricité, mécanique, thermodynamique..) qui permettent un large choix de spécialité en école d'ingénieur.

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