Rashed Iqbal is a program manager for data solutions at Teledyne Technologies in California as well as an adjunct professor in the Economics Department at UCLA, where he teaches graduate courses in data science. Rashed also teaches a course on deep learning and natural language processing and understanding at UC Irvine. His current area of research is narrative economics, which studies the impact of popular narratives and stories on economic fluctuations. He believes narrative extraction will revolutionize process of human communication. His other areas of interest and expertise include data science, machine learning, and transitioning traditional organizations to Agile and Lean methods. Rashed has led multiple entrepreneurial ventures in these areas. He holds a PhD in systems engineering with a focus on stochastic and predictive systems as well as current CSM, CSP, PMI-ACP, and PMP certifications. He is a senior member of the IEEE.
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