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Rayhaan Iqbal is a Data Scientist with experience in designing healthcare drug taper recommendation models and maintaining business data pipelines. Prior to this, Rayhaan worked as a Machine Learning Research Assistant, focusing on Physics Informed Neural Networks and adaptive surrogate-based optimization. Rayhaan has also completed internships at various companies where Rayhaan worked on projects involving industrial boiler simulation, vehicle frame design, and fluid flow analysis for pollution control equipment. Rayhaan holds a Master of Science in Mechanical Engineering from the University at Buffalo and a Bachelor of Engineering in Mechanical Engineering from Savitribai Phule Pune University.