Equinix
Zoe Liu is a skilled Machine Learning Engineer at Equinix since May 2020, where significant contributions include designing and conducting research on distributed AI applications, demonstrating the advantages of edge computing, and fostering new business partnerships through experimental findings. Prior to this role, Zoe served as a Data Science Intern at Stilt Inc., focusing on feature engineering, hypothesis testing for loan delinquency prediction, and developing SQL queries for credit risk monitoring. Additionally, Zoe worked as a Data Consultant for Pinxuan Intelligence, where an impressive CNN image-classification model was created, achieving 92% accuracy. Zoe holds a Bachelor of Arts in Data Science from the University of California, Berkeley, completed in 2021.
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Equinix
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Equinix connects the world’s leading businesses to their customers, employees and partners inside the most interconnected data centers. In 50+ markets across five continents, Equinix is where companies come together to realize new opportunities and accelerate their business, IT and cloud strategies. In a digital economy where enterprise business models are increasingly interdependent, interconnection is essential to success. Equinix operates the only global interconnection platform, sparking new opportunities that are only possible when companies come together.