Experience

  1. Senior Data Scientist

    KAI
    • Development of a Python package, accelerating Post-Silicon verification by 10%.
    • Integrated multiple algorithms and tools into the package, including scikit-learn and tensorflow, improving overall efficiency.

  2. Data Scientist

    STMicroelectronics

    Responsibilities include:

    • Study of the degradation of complex manufacturing machines for the semiconductor industry based on large varieties and volume of data.
    • Creation of relevant indicators for measuring machine production performance for visualization and decision support for production management.
    • Development of a tool to help the choice of machines to maintain by taking real-time information such as the performance at a given time and forecasts of workload.

Education

  1. PhD Industrial Engineering

    MINES Saint-Etienne
    • Published research at WSC 2020 ; presented at IEEE CASE 2021, ROADEF 2022.
    Read Thesis [fr]

  2. Master’s Degree in Microelectronics and Computer Science

    MINES Saint-Etienne
    • Major in Computer Science and specialisation in Information Technology and Supply Chain.
Skills & Hobbies
Technical Skills
Python
Machine Learning & AI
SQL & Big Data
Deep Learning (TensorFlow, PyTorch)
Cloud Computing (GCP, Docker)
Awards
Google Cloud: Professional Data Engineer
Google Cloud ∙ March 2023
A Professional Data Engineer transforms raw data into usable insights by designing, building, and managing robust data processing systems. The engineer is responsible for the entire data lifecycle, from ingestion and storage to preparation for analysis. This role ensures data is valuable, secure, and compliant with business and regulatory needs.
Google Cloud: Professional Machine Learning Engineeer
Google Cloud ∙ August 2023
A Professional Machine Learning Engineer builds and optimizes ML models using cloud technologies, ensuring scalability and efficiency. The engineer manages complex datasets, creates automated pipelines, and prioritizes responsible AI practices. This professional collaborates with teams to deploy, monitor, and improve ML solutions, making machine learning accessible across the organization.
Languages
100%
French
90%
English
30%
German