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Laurent AzarnoucheLA

Laurent Azarnouche

Data Scientist Lead

€550/day
Paris, FR
8-15 years

Average response time: 1 hour

About Laurent

I am an experienced professional with a diverse background in industry and consulting, specializing in AI. I have over 10 years of expertise in sectors such as semiconductor, automotive, and retail. My primary focus is on data science, with a specific emphasis on computer vision and data analysis.

My proficiency in Python and data science equips me to develop robust and efficient AI-based models for various clients. I have a deep understanding of machine learning algorithms, statistical analysis, and data visualization techniques.

In addition to my technical skills, I have served in leadership roles as a tech lead and project manager. I have demonstrated strong leadership abilities and technical competence in guiding teams and overseeing projects. My experience in these roles highlights my ability to effectively manage resources, meet project goals, and ensure successful outcomes.

Overall, my combination of technical expertise, leadership skills, and industry experience makes me a valuable asset in the field of AI. I am well-equipped to tackle complex challenges and deliver innovative solutions to clients across different sectors.
  • French

    Native or bilingual

  • English

    Native or bilingual

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

Experience

  • Accenture
    Manager Data Scientist
    CONSULTING AND AUDITS
    November 2021 - April 2023 (1 year and 6 months)
    Paris, France
    Project manager / Data science lead - Retail
    •Led a team of 6 data scientists & data engineers for design development and implementation ofAI algorithms on GCP (Computer Vision, Time series, ML)
    •Managed the communication and coordination ofthe project internally and externally
    •Verified compliance with the client brief & requirements
    •Formalized the vision and made recommendations for the development and the delivery ofthe AI solutions
    •Developed and analyzed data alongside with the team to build cutting-edge AI solutions to improve the quality, maturity, shelf-life cycle, waste and sales of fruits & vegetables
    •Formalized the industrialization guidelines keywords : Python, Scikit-learn, SQL, GCP, Vertex AI
  • FAURECIA
    Data Scientist
    March 2020 - January 2021 (10 months)
    Paris, France
    •Developed and implemented deep learning algorithms for anomaly detection in car assembly line
    •Conducted AI based POCs for welding defect detection (segmentation) and label data extraction (OCR)
    •Developed solutions for AI Visual Inspection framework for automotive parts quality check
    •Optimized supply chain inventory using Foundry-Palantir solutions
    •Improved dataset and algorithms for car seat image segmentation keywords : Python, Tensorflow, Scikit-learn, Pytorch, OpenCV, Computer Vision, GAN, OCR, Azure, Git
  • Applied Materials
    Sr. Algorithm Developer, Process Optimization and Control Group
    January 2017 - March 2020 (3 years and 2 months)
    Santa Ana, CA, USA
    •Developed Python algorithms to estimate 3D profiles based on top-down SEM images
    •Developed Python algorithms for customized metrology and post-processing tool metrology data
    •Developed supervised learning algorithms using regression techniques for etch process optimization
    •Developed frameworks to integrate customized metrology algorithms and to feed data to the ML models
    •Designed GUI to implement frameworks and execute customized metrology algorithms
    •Demonstrated software to marketing team; deliver regular presentations to management on milestones, prepare software user manual and documentation for developers keywords : Python, JMP, Scikit-learn, ML, Statistics, PyQt, Pandas, Keras, OpenCV, Git

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Education

  • Ph.D., Microelectronics and Nanoelectronics,
    University of Grenoble
    2012
    Ph.D., Microelectronics and Nanoelectronics,
  • Master of Science
    University of Grenoble
    2008
    M.S., Nanophysics and Nanostructures,

Skill set (32)

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