Claire Yang is an accomplished data scientist and software engineer with a robust background in machine learning, algorithm development, and data analysis. Claire's experience includes working at Oracle from 2018 to 2020, where significant contributions were made in both data science and software engineering for the Oracle Marketing Cloud. Notable achievements include winning the 2018 OMC Hackathon and developing algorithms to enhance audience targeting and product functionality. Claire has also held a research scientist position at Stanford University Graduate School of Business, where user data analysis was performed, and engaged in independent projects that involved algorithm development and web crawling. Currently, Claire serves as the lead data scientist at Google, focusing on self-driving cloud initiatives, A/B testing pipelines, and was recognized as the winner of the 2020 Google BIBA Data Hackathon. Educational qualifications include a Bachelor's degree in Economics from the University of Oxford and a Master's in Management Science and Engineering from Stanford University.
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