Sami Ben Brahim

Sami Ben Brahim

Machine Learning Intern

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location of Sami Ben BrahimMontreal, Quebec, Canada

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  • Timeline

  • About me

    PhD Student | Machine Learning Engineer

  • Education

    • Preparatory Institute for Engineering Studies -Monastir-

      2016 - 2018
      Pre-Engineering Studies Diploma Maths and Physics
    • Pionner High School of Monastir -LPM-

      2012 - 2016
      Baccalaureate(Mathematics) Diploma
    • Concordia University

      2023 - 2027
      Doctor of Philosophy - PhD Information and Systems Engineering
    • National Engineering School of Tunis (ENIT), University of Tunis El Manar

      2018 - 2021
      Modelling for Industry and Services (Engineering degree)

      - Data Science : Machine Learning, Deep Learning, Data analysis, data mining, database management- Statistics & Probability- Stochastic calculus, Stochastic processes, Markov chains, Martingales- Mathematical Optimization, Operations Research- Programming : Python, R, Java, C, C++

    • National Engineering School of Tunis (ENIT), University of Tunis El Manar

      2020 - 2021
      M2 Masters degree Information Processing and Complexity of the Living (TICV)

      - Statistics- Machine learning- Signal processing- Image processing- Research methodology

  • Experience

    • Technosoft Solutions

      Jul 2020 - Sept 2020
      Machine Learning Intern

      Technosoft Solutions works in the field of Home Security.Internship subject: First part is to implement a security system (face mask detector) based on deep learning and computer vision techniques in order to detect suspect people (criminal, robber,...). Second part of the internship project is to implement an attendance & time system using face recognition.Key words: AI, deep learning, computer vision, MobileNet, Keras, OpenCV, Sklearn, Face recognition

    • Société Tunisienne de l'Electricité et du Gaz (STEG)

      Mar 2021 - Nov 2021
      R&D Data Science Intern

      Master thesis: Gas peak demand forecasting of Sousse region.Key words: natural gas, peak flow, long-term forecasting, mid-term forecasting, short-term forecasting, univariate & multivariate forecasting, statistics, machine learning, deep learning.*******Published in The 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET’2022)

    • RWTH Aachen University

      Dec 2021 - Mar 2022
      Research intern in Data Analysis at the Chair for Energy Systems Economics (FCN-ESE)

      * processing and analysis of geo-referenced data* cluster analysis of residential buildings based on the characteristics longitude, latitude, and area-specific heat demand

    • UM6P - Africa Business School

      Apr 2022 - Mar 2023
      Research Assistant in Data Science

      ○ Literature review on the topic ”lot-sizing and scheduling under uncertainty”.○ Implementation of optimisation models.Key words: Scheduling, Supply chain, Fertilizers, Stochastic Optimisation, MILP, CPLEX, PuLP○ Preparation of ”data science” course materials.

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Sami Ben Brahim
      Erasmus+ ICM Scholarship - Jun 2021