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Mohamed Ahmed
Machine Learning Specialist at Tamkeen Technologies
Mohamed Ahmed is a highly motivated individual with a strong passion for machine learning, deep learning, NLP (Natural Language Processing), and computer vision. He thrives on the challenge of extracting insights from data and utilizing them to improve businesses, classify objects, and make informed decisions.
With a diverse educational background, Mohamed has completed a nanodegree in Deep Learning at Udacity, a Master's degree in Data Science from San Diego State University, and pursued studies at the faculty of engineering at Helwan University.
His professional experience includes serving as a Senior NLP/Chatbot Engineer at Tamkeen Technologies, where he applies his expertise in natural language processing. Previously, Mohamed held roles as a Machine Learning Engineer at WUZZUF, a Cognitive Engineer at Vodafone, a Business Intelligence Analyst at Vodafone, and a Research Engineer at Helwan University Cairo.
Driven by a genuine interest in harnessing the power of data to drive innovation and solve complex problems, Mohamed Ahmed is poised to make significant contributions in the fields of machine learning, deep learning, NLP, and computer vision.