• Hamza Bendemra, Ph.D.

    Data Analytics | Machine Learning | Research Engineer

    About Me

    I'm a research engineer skilled in Machine Learning and Data Analytics currently based in Abu Dhabi (UAE) with several years of experience conducting projects with industrial partners on engineering and data science projects. My interests include Data Science, Machine Learning, and Robotics.

  • My Profiles

    Data science projects and op-ed articles.





    Towards Data Science

    The Conversation

  • Recent Work Experience

    A description of my most two recent roles

    Royal Group (Abu Dhabi, UAE)

    Analytics Manager
    July 2018 – Present

    • Responsible for the application stacks around data warehouse, reporting and required ETL/integration tools.
    • Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
    • Mining and analyzing data from company databases to build and deliver capabilities that would enable business to perform self-service around reporting, analytics and dashboarding.
    • Drive automation and leverage machine learning methods to optimise business processes.

    Khalifa University (Abu Dhabi, UAE)

    Research Fellow
    June 2016 – June 2018

    • Data wrangling and exploratory data analysis using Python and R of large aviation datasets.
    • Built predictive machine learning models for various aviation-related operations.
    • Taught and supported Robotics student projects in Computer Vision using Neural Networks for Image Classification and Image Detection.
    • Prepared progress reports, presentations, and interactive data dashboards to communicate progress to stakeholders.
  • Projects (sample)

    A selection of data science projects I've worked on

    Train a Quadcopter How to Fly using RL

    Reinforcement Learning Project

    Designed an AI agent to fly a quadcopter, and then trained it using reinforcement learning algorithms (DQN, DDPG).

    Creating Customer Segments/Clusters

    Unsupervised Learning Project

    Applied unsupervised learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data

    Deep Learning Classifier using TensorFlow

    Deep Learning Project

    Built Deep Learning models to identify canine breed given an image of a dog. Convolutional Neural Networks architectures were built using Transfer Learning with pre-trained ResNet-50.

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