Azzam Radman is a data scientist with a strong background in industrial engineering and data science, holding dual master's degrees from Jordan University of Science and Technology and the University of Louisville. Azzam has worked with notable companies such as UPS, IBM, and Toyota, applying operations research and analytics to enhance performance and efficiency. At Jordan University of Science and Technology, Azzam developed deep learning solutions for Arabic NLP and healthcare analytics, contributing to several peer-reviewed publications. Azzam's expertise includes building dynamic scheduling algorithms and optimizing operational procedures to drive significant cost savings.
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