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Azin Faghihi is a Data Scientist at Amida Technology Solutions with experience in utilizing Python for data analysis, data visualization, and machine learning modeling. Previously, they worked as a Software Engineer at Knapsack for Hope, deploying web services on Amazon AWS and designing automated content management services. Prior to that, they served as a Graduate Research Assistant at the University of California, Los Angeles, focusing on aero-optical wavefront prediction models and state-space identification for dynamical systems. Their educational background includes a Ph.D. and M.S. in Mechanical Engineering from UCLA, as well as a B.S. in Mechanical Engineering with a minor in Design from the University of California, Berkeley.