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Profile 👨🏻‍💻

  • A recent recipient of a degree in Electronics and Communication Engineering, enthusiastic about Mathematics and Artificial Intelligence, and actively seeking an internship or job opening that will allow me to acquire practical skills.

Education 👨🏻‍🎓

  • Bachelor's degree | Electronics and Communication Engineering                   08/2018 – 06/2023
    • Graduation Project: Garbage detection and classification.

Skills

Programming Languages

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Frameworks and Libraries

  • Tensorflow | Keras | Scikit-learn | Matplotlib | Pandas | Numpy | FastAPI | OpenCV | MLFlow | Docker | Selenium |

ML Algorithms

  • K-Means | DB Scan | Hierarchical clustering | KNN | Decision tree | Random Forest| SVM | linear Regression | Logistic Regression | Naive Bays

Deep Learning

  • CNNs | LSTMs | RNNs | MLPs | Forward propagation | Backward Propagation | Mathematical Optimization | Data Augmentation | Image Segmentation | Hyperparameter Tuning

Languages

  • English: Upper Intermediate
  • Arabic: Native

Resume

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Contact Me 🔗

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Feedback

  • Could you kindly offer feedback on areas where I could enhance myself?
  • I'm enthusiastic about receiving guidance that can aid in the advancement of my skill set.
  • Feel free to reach out to me via email or LinkedIn.
  • I acknowledge my deficiencies in problem-solving and am currently engaged in efforts to enhance this aspect.

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Mohammad Ahmed Nomer's Projects

fellowship.ai icon fellowship.ai

Training a pre-trained ResNet 50 model on the Flowers dataset to classify flowers.

lip-sync icon lip-sync

Wav2Lip is a deep learning model designed for the task of lip-syncing videos and and images in real-world scenarios

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