Koceila ABID

Data Scientist at Kiliba
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Contact Information
us****@****om
(386) 825-5501
Location
Paris, Île-de-France, France, FR
Languages
  • English Professional working proficiency
  • French Professional working proficiency
  • Arabic Native or bilingual proficiency

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Bio

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Credentials

  • Machine Learning
    Coursera
    Apr, 2020
    - Nov, 2024

Experience

    • France
    • Advertising Services
    • 1 - 100 Employee
    • Data Scientist
      • Apr 2021 - Present

    • France
    • Think Tanks
    • 200 - 300 Employee
    • Research And Development Engineer
      • Oct 2017 - Nov 2020

      • Data processing and analysis for the construction of health indicators • Proposed a new scheme for fault detection using machine learning • Designed new failures prediction approach using machine and deep learning techniques • Continuously watch on state of the art techniques for fault detection and prognostics • Writing and presenting scientific articles in international conferences • Data processing and analysis for the construction of health indicators • Proposed a new scheme for fault detection using machine learning • Designed new failures prediction approach using machine and deep learning techniques • Continuously watch on state of the art techniques for fault detection and prognostics • Writing and presenting scientific articles in international conferences

    • Internship in Data Science
      • Mar 2017 - Sep 2017

      • Data collection from home sensors using GSM card • Data processing for the recognition of activities of daily living • Modelling of the activities of daily living for the detection of abnormal behaviour • Data collection from home sensors using GSM card • Data processing for the recognition of activities of daily living • Modelling of the activities of daily living for the detection of abnormal behaviour

    • Internship in Data Science
      • Oct 2016 - Dec 2016

      • Data processing by transforming the audio signal into the frequency domain • Training of the Convolutional Neural Network (CNN) using Tensorflow • Class prediction of the test audio data (95% accuracy) • Data processing by transforming the audio signal into the frequency domain • Training of the Convolutional Neural Network (CNN) using Tensorflow • Class prediction of the test audio data (95% accuracy)

    • Algeria
    • Oil and Gas
    • 500 - 600 Employee
    • Industrial Automation Engineer
      • Feb 2016 - Jul 2016

      • Study of the instrumentation (sensors, actuators) of the combustion process • Migration of the automation system using Siemens S7-400 and Step7 • Designing the human-machine interface using Siemens WinCC flexible • Study of the instrumentation (sensors, actuators) of the combustion process • Migration of the automation system using Siemens S7-400 and Step7 • Designing the human-machine interface using Siemens WinCC flexible

    • Student Internship
      • Mar 2014 - Jun 2014

      • Designing the printed circuit board using Proteus • Development of PIC microcontroller program using C • Building and testing the inductance meter • Designing the printed circuit board using Proteus • Development of PIC microcontroller program using C • Building and testing the inductance meter

Education

  • IMT Lille Douai
    PhD degree in Artificial Intelligence, Computer Science and Control
    2017 - 2020
  • Universite de Lorraine
    Master of science, Human Machine System Engeneering
    2016 - 2017
  • Université des Sciences et de la Technologie 'Houari Boumediène'
    Master of science, Automation, Industry and process
    2011 - 2016

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