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Nora BoukhataNB

Nora Boukhata

Data Scientist - Machine Learning Engineer

€700/day
Paris, FR
3-7 years

Average response time: 1 hour

About Nora

As a highly motivated Data Scientist with over 5 years of experience in an
international environment, I possess a strong background in various Machine
Learning concepts, including computer vision, OCR and GenAI. I have worked with
multiple clouds, such as Microsoft Azure, and programming languages, including
Python. My keen attention to detail and problem-solving skills makes me an
organized and efficient team player. I possess strong communication, teamwork,
and adaptability skills, and I thrive in collaborative environments.
  • English

    Fluent

  • French

    Native or bilingual

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

Experience

  • EDF R&D
    Machine learning Scientist UK
    ENERGY AND UTILITIES
    May 2024 - Today (2 years)
    Londres, United Kingdom
    • Working with a team of 6 machine learning scientists
    • Worked on nuclear, thermal and renewables energies use cases.
    • Development and deployment of a lot of computer vision model and GenAI solutions.
    AWS S3 Sagemaker Computer Vision Natural Language Processing (NLP) GenAI Python
  • Technip Energies Corporate
    Data Scientist / Lead Data Scientist
    ENERGY AND UTILITIES
    March 2022 - May 2024 (2 years and 3 months)
    Nanterre, France
    • Leading a team of 2 to 3 data scientists in an international environment.
    • Worked on multiple topics (Computer Vision, OCR, NLP, Classification…) with different inputs (videos, images, PDFs and Tabular Data).
    • Deployment of different solutions(ex: Kubernetes clusters, azure apps..).
    • Co-presenter in “The Big Data & AI Paris congress” for its12th edition.
    • 6 months of platform training/comparison, it includes: Azure ML studio, Dataiku and RapidMiner.
    Microsoft Azure Azure DevOps Dataiku OCR Computer Vision Gestion de projet Communication Generative AI Team Leadership
  • Eurailscout france
    AI engineer
    TRANSPORTATION
    February 2021 - February 2022 (1 year)
    Paris, France
    As part of computer vision project "Automated processing of
    track defects based on neural networks" in conjunction with
    SNCF partner, these points were covered:
    • Improvement of current solution and performance
    • evaluation.
    • Preparation and implementation of industrialization process.
    • Development of new services for the detection of
    • vegetation and recognition of writings on rail images.
    Python Deep Learning computer vision GPU Git Microsoft Azure

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Education

  • Master 2 Data science et Machine learning
    Sorbonne Université - Pierre et Marie Curie
    2018

Skill set

Categories