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Mohamed Gamal

Mohamed Gamal is a machine learning engineer from Cairo, Egypt with a B.Sc. in Electrical Engineering. His areas of expertise include deep learning frameworks like TensorFlow and Keras, as well as Python libraries such as NumPy, SciPy, Scikit-learn, and Pandas. Some of his projects include dog breed recognition using CNNs and customer segmentation using unsupervised learning techniques. He is currently pursuing an Intel Edge AI Scholarship and has taken online courses from Udacity, Coursera, edX, and DataCamp to expand his machine learning skills.

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Cairo - Egypt +201097943665 mohamedgamal.elbayoumi@gmail.com  www.linkedin.com/in/gamal-a74a9a109  github.com/Mhmd-Gamal Mohamed Gamal Machine Learning Engineer 2014 - 2019Faculty of Engineering, Mansoura University, Egypt B.Sc. degree in Electrical Engineering in Electronics and Communication. Coursework: Communication systems, Electronics, Waves, Satellite communication, Mobile Communication, Networks and Security, Machine learning. Graduation Project: " Sign Language Recognition " Main Objectives: Designing a software that recognizes defined hand gestures such as numbers and letters using various computer vision and machine learning algorithms through a real-time video feed. video Awarded the first place in graduation projects competition at Communication & Electronics department. Technologies : ML/DL, CNN, Python, Keras, Numpy, OpenCV, pandas Programming Languages: Python, C++, Matlab Python libraries: Numpy, Scipy, Scikit-learn, Pandas, OpenCV Deep Learning Frameworks: TensorFlow , Keras , Pytorch Deep Learning: CNN, RNN Algorithms & Data Structure: Divide & Conquer, Sorting & Searching, linked list, stack, queue, tree, hash table, dynamic connectivity Front End Development: Javascript, HTML,CSS Dog Breed Recognition: Github Convolutional Neural Networks project that given an image of a dog and algorithm will identify an estimate of the canine’s breed. Tools: Python, Keras, numpy, OpenCV, matplotlib. Test-Accuracy: 82% Creating Customer Segments: Github Applying unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon. Tools: Python, Numpy, pandas, scikit-learn, matplotlib. Finding Donors for CharityML: Github Tools: Python, Numpy, pandas, scikit-learn, matplotlib. Education Skills Selected Projects Courses and Workshops
Created with Udacity: Machine Learning Engineer Nanodegree link Intel® Edge AI Scholarship (In progress ) Coursera: Deep Learning Specialization (deeplearning.ai) link Machine Learning (Stanford) link Python Data Structures link Using Python to Access Web Data link How Google does Machine Learning link Datacamp: Data Scientist with Python Track link Edx: Introduction to computer science and programming using Python 6.00.1x Arabic - Native English - Very Good Languages

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  • 1. Cairo - Egypt +201097943665 mohamedgamal.elbayoumi@gmail.com  www.linkedin.com/in/gamal-a74a9a109 ï‚› github.com/Mhmd-Gamal Mohamed Gamal Machine Learning Engineer 2014 - 2019Faculty of Engineering, Mansoura University, Egypt B.Sc. degree in Electrical Engineering in Electronics and Communication. Coursework: Communication systems, Electronics, Waves, Satellite communication, Mobile Communication, Networks and Security, Machine learning. Graduation Project: " Sign Language Recognition " Main Objectives: Designing a software that recognizes defined hand gestures such as numbers and letters using various computer vision and machine learning algorithms through a real-time video feed. video Awarded the first place in graduation projects competition at Communication & Electronics department. Technologies : ML/DL, CNN, Python, Keras, Numpy, OpenCV, pandas Programming Languages: Python, C++, Matlab Python libraries: Numpy, Scipy, Scikit-learn, Pandas, OpenCV Deep Learning Frameworks: TensorFlow , Keras , Pytorch Deep Learning: CNN, RNN Algorithms & Data Structure: Divide & Conquer, Sorting & Searching, linked list, stack, queue, tree, hash table, dynamic connectivity Front End Development: Javascript, HTML,CSS Dog Breed Recognition: Github Convolutional Neural Networks project that given an image of a dog and algorithm will identify an estimate of the canine’s breed. Tools: Python, Keras, numpy, OpenCV, matplotlib. Test-Accuracy: 82% Creating Customer Segments: Github Applying unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon. Tools: Python, Numpy, pandas, scikit-learn, matplotlib. Finding Donors for CharityML: Github Tools: Python, Numpy, pandas, scikit-learn, matplotlib. Education Skills Selected Projects Courses and Workshops
  • 2. Created with Udacity: Machine Learning Engineer Nanodegree link Intel® Edge AI Scholarship (In progress ) Coursera: Deep Learning Specialization (deeplearning.ai) link Machine Learning (Stanford) link Python Data Structures link Using Python to Access Web Data link How Google does Machine Learning link Datacamp: Data Scientist with Python Track link Edx: Introduction to computer science and programming using Python 6.00.1x Arabic - Native English - Very Good Languages