Rashed Iqbal, Ph. D is a Program Manager, Data Solutions at Teledyne Technologies in California. He has two areas of interest and expertise: Data Science and Machine Learning, and Transitioning Traditional Organisation to Agile and Lean Methods. He practices, consults, and teaches in these domains.
He is an Adjunct Professor in Economics Department at UCLA where he teaches graduate courses in Data Science. Rashed also teaches Deep learning and Natural Language Processing / Understanding at UC Irvine.
Rashed undertook multiple entrepreneurial ventures in these areas. His current area of research is Narrative Economics that studies impact of the popular narratives and stories on economic fluctuations. He is using Natural Language Processing/Understanding and Deep Learning to extract narratives in human communication. He believes narrative extraction will revolutionize process of human communication to which Narrative Economics is just one of the applications.
Rashed has a Ph.D. in Systems Engineering with focus on Stochastic and Predictive Systems and holds current CSM, CSP, PMI-ACP, and PMP certifications. He is also a Senior Member of the IEEE.
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