Daniel Yao is an experienced software development and data analysis professional with a strong background in teaching and research. Daniel has worked as a Software Development Engineer at Amazon since May 2021 and previously served as a Data Implementation Specialist at Google, where Daniel developed Python scripts for data migration and duplicate identification. Daniel's experience also includes positions as a Graduate Research and Teaching Assistant at UC Irvine, supporting data aggregation and developing course materials in programming languages. Earlier roles include a Chemistry Teaching Assistant at California Polytechnic State University, a software intern at Euvis Inc., and a Global Statistical Programming Intern at Amgen, demonstrating a diverse skill set in programming, data analysis, and education. Daniel holds a Bachelor’s degree in Computer Software Engineering from California Polytechnic State University and a Master's degree in the same field from UC Irvine.
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