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Omar Shaaban Rabea

Computer Vision Engineer at worldquant university

Cairo, Egypt

Work Experience

  • Computer Vision EngineerInternship

    worldquant university

    Sep 2024 - Present -9 months

    United States

    • Job Details:• Designed and trained a convolutional neural network (CNN) to classify images of crop diseases in Uganda, achieving high accuracy in disease detection and identification. • Built and deployed an object detection model to monitor and analyze traffic flow in Dhaka, Bangladesh, utilizing real-time video data. • Developed and implemented face detection and recognition models for video interviews, including identification of Indian Olympic boxer Mary Kom. • Utilized neural networks to generate diverse medical images for research and diagnostic purposes. • Created and deployed a meme generator app using Stable Diffusion and Streamlit, tailored for social media marketing in the United States.
  • Education

    • Bachelor's Degree in computer enginnering

      benha

      Jan 2019 - Jan 2024 - 5 yr

    Skills

    • Data Science
    • Python
    • PyTorch
    • Matplotlib
    • SKLearn
    • SQL
    • Statistics
    • Git
    • C++
    • data scientist
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    Languages

    • English

      Advanced
    • German

      Beginner

    Training & Certifications

    • PyTorch for Deep Learning Bootcamp

      Udemy·2024
    • PyTorch for Deep Learning Bootcamp

      2024
    • Deep Learning Specialization

      Coursera·2024
    • Deep Learning Specialization

      2024
    • Applied Data ScienceLab

      World Quant University·2023
    • Applied Data ScienceLab

      2023
    • Machine Learning Specialization

      Coursera·2023
    • Machine Learning Specialization

      2023
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