Michael Ting is an accomplished data engineer and analyst with a strong academic background, holding a Bachelor's degree in Applied Mathematics from the University of California, Los Angeles, with a GPA of 3.98. Michael has extensive experience in data analysis and engineering, having worked with leading companies such as Meta, where development of critical data infrastructure for Messenger was led, and Fox Corporation, where creation of automated anomaly detection systems saved significant operational hours. Additional roles include internships at SAS and WarnerMedia, where contributions spanned automation in testing and algorithm implementation for marketing strategies, respectively. Michael also demonstrated leadership skills as a team lead for UCLA ACM and an accessibility engineer in the UCLA Office of Information Technology, focusing on document accessibility for individuals with disabilities.
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