Mia L. is a seasoned economist and data scientist with a Ph.D. in Economics, specializing in macroeconomics, finance, and computational economics. Mia gained valuable experience at Amazon from 2019 to 2024, where they worked on forecasting, fleet optimization, marketing science, and pricing algorithm development. Currently, Mia holds dual roles as a Staff Data Scientist at Apple and participates in Investment Banking and Strategic Advisory at Evercore. Prior to their time at Amazon, Mia served as Associate Director of Quantitative Research at Moody's Corporation, focusing on predictive modeling of credit risk. Mia continues to pursue a Bachelor of Science in Mathematics and Economics at the University of Michigan, along with a Doctorate in Economics from UC San Diego, and will complete an MBA from the University of California, Berkeley’s Haas School of Business in 2024.
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