Sahar Ben Salem

Sahar ben salem

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location of Sahar Ben SalemValence, Auvergne-Rhône-Alpes, France
Phone number of Sahar Ben Salem+91 xxxx xxxxx
Followers of Sahar Ben Salem1000 followers
  • Timeline

    Jun 2019 - Aug 2019

    Computer Vision intern at DigiConstat

    DigiConstat
    Feb 2020 - Jul 2020

    Graduate Research Intern

    Laboratoire IBISC, Université d’Evry, Université Paris-Saclay
    Feb 2021 - Jul 2021

    Data Science Intern

    Markem-Imaje
    Sept 2021 - Feb 2022

    Data Scientist at Expleo in mission for Markem-imaje

    Expleo Group
    Current Company
    Mar 2022 - now

    Data Science & Analytics Engineer

    Markem-Imaje
  • About me

    Data Science & Analytics Engineer at Markem-Imaje France

  • Education

    • Ecole centrale de marseille

      2020 -
      Master of science in artificial intelligence and machine learning
    • Tunisia polytechnic school

      2017 - 2020
      Multidisciplinary engineering degree
    • Ipein - institut préparatoire aux études d'ingénieur de nabeul

      2015 - 2017
      First degree technology, engineering

      Rank at the National entrance examination for engineering training cycles: 06/900

  • Experience

    • Digiconstat

      Jun 2019 - Aug 2019
      Computer vision intern at digiconstat

      The main aim of this internship is to classify images as forged or never manipulated and detect/localize areas of forgery in forged images using OpenCV, Keras libraries, Faster R-CNN, Inception-v3 and Error Level Analysis.

    • Laboratoire ibisc, université d’evry, université paris-saclay

      Feb 2020 - Jul 2020
      Graduate research intern
    • Markem-imaje

      Feb 2021 - Jul 2021
      Data science intern
    • Expleo group

      Sept 2021 - Feb 2022
      Data scientist at expleo in mission for markem-imaje
    • Markem-imaje

      Mar 2022 - now
      Data science & analytics engineer

      Microsoft Azure : Leveraging advanced data collection/processing techniques in Azure (Synapse, Logic App, Azure Functions, Eventhub, Azure AutoML, Azure Custom Vision), we are able to extract valuable insights from unstructured usage data, providing a comprehensive view of our product performance.Predictive maintenance: currently developing a sophisticated predictive maintenance model that utilizes advanced techniques such as LSTM-AutoEncoder and ExtraTreesClassifier to detect and predict potential equipment failures that may not be easily detected based on engineering knowledge alone.Create and automate Power BI reports to visualize Usage/Service data from lab, field tests, clients and SAP, providing valuable insights for data driven "product development" and "service optimization".Monitor our lab data and generate alerts when anomalies are detected. These alerts are sent via email to the specified team to enable them to quickly analyze the issue and make informed decisions. Show less

  • Licenses & Certifications