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Derrick Fongang FongangDF

Derrick Fongang Fongang

Senior Data Scientist | MLOps

€650/day
Paris, FR
8-15 years

Average response time: 1 hour

About Derrick

Data Practitioner désireux de voir réussir votre projet Data.
Machine Learning, Deep Learning, Data Engineering, et MLOps.
Expertise en Data Science: Computer Vision, Natural Language Processing, Time Series
  • English

    Native or bilingual

  • French

    Native or bilingual

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

Experience

  • Menard Group
    Senior Data Scientist
    January 2023 - November 2024 (1 year and 10 months)
    Orsay, France
    Predictive maintenance to detect and prevent anomalies on the machines
    • Collecting production data: torque pressure, pump pressure and rotating speed.
    • Concatenating data on each sensor to create a time series.
    • Anomaly detection with the IQR: interquartile range, and the isolation forest techniques.
    • Integrating acceleration data and frequence detection for the wireless vibration monitoring system.
    • Time series data visualization with Seaborn
    Technologies: Python 3.10 – Scikit Learn – Pandas – Numpy – Seaborn – Jupyter Lab – Windows
  • Cetim
    Senior Data Scientist
    September 2022 - December 2022 (3 months)
    60 Rue De Senlis, Beaumont-sur-Oise, France
    Analyzing the foundry parameters that impact the quality of produced pieces.
    • Detecting features that impact the most the quality of produced pieces.
    • Feature importance analysis with Machine Learning algorithms: Random Forest, Logistic Regression, GradientBoosting, Permutation Feature Importance
    • Boostrap Sampling to manage the unbalanced dataset
    • Data Science Evangelist, Training and Vulgarization
    Technologies: Python 3.7 – Scikit Learn – Pandas – Numpy – Data Visualization with Seaborn – Jupyter Lab – Windows OS
  • Total Energies
    Senior Data Scientist
    December 2021 - August 2022 (8 months)
    92 Rue De L' Ile De France, Fréjus, France
    Comparing solutions and technologies for the implementation of the Artificial Intelligence Observability.
    • Comparative study of different A.I. Obs solutions, such as Elastic Observability.
    • Designed and implemented the architecture for collecting system logs from linux servers and windows servers.
    • Visualization, storage and analysis of the logs collected for the predictive maintenance of breakdowns on the server warehouse.
    Technologies: Python 3.7 – Scikit Learn – Tensorflow – NLP – Docker – Data Visualization with Seaborn – Windows OS – Serveur Linux – Syslogs – Elasticsearch

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Education

  • ICM Science and Engineering, MSc in Applied Mathematics
    School Ecole Nationale Sup´ erieure des Mines de Saint-Etienne
    2011
    ICM Science and Engineering, MSc in Applied Mathematics

Skill set

Categories