Ammar Rashed is an accomplished data science professional currently serving as the Head of Data Science at Keak since September 2025. Previously, Ammar held positions such as Lead Machine Learning Engineer at Wite, where responsibilities included leading AI system architecture, and AI Lead Instructor & Curriculum Developer at Global Knowledge, delivering enterprise AI training and curricula. Ammar has extensive experience in research and education, including roles as Lab Manager and PhD Research Assistant at the University of Ottawa, where innovative methods in AI and player engagement modeling were developed. Additional contributions include consulting on machine learning solutions for various industries through Upwork, and holding machine learning positions at organizations such as BlackStone eIT and OakNorth. Ammar has a strong academic background with a PhD in Computer Science from the University of Ottawa, alongside a Master's and Bachelor's degree from Özyeğin University and İstanbul Şehir University, respectively.
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