Phillip Yelland
Senior Applied Scientist at Amazon
Belmont, California, United States
Summary
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Senior🎓
Top SchoolPhillip Yelland is a Senior Applied Scientist with over three decades of research and industry experience and more than 10 years in senior data science leadership roles at Amazon, Target, Google and Facebook. He specializes in machine learning, statistics and large-scale time series and forecasting systems, having led production MLaaS platforms, root-cause analysis for device telemetry, and company-wide supply-chain forecasting. Phillip bridges deep research (PhD in Computer Science from Cambridge) with pragmatic engineering—designing massively parallel anomaly detection, Bayesian/time-series models, and deploying privacy-enhancing data anonymization in production. He is equally comfortable mentoring teams and owning end-to-end technical programs, and has a history of inventing practical algorithms for low-count seasonal series and data-cube transformations. Based in Belmont, CA, he brings a rare combination of academic rigor, product-focused delivery, and hands-on systems design across both devices and cloud infrastructure.
10 years of coding experience
31 years of employment as a software developer
Masters, Business Administration, Masters, Business Administration at University of California, BerkeleyPhD, Computer Science, PhD, Computer Science at University of Cambridge, UK
Github Skills (1)
formatter5
Programming languages (1)
Github contributions (1)
google/rfmt
Dec 2015 - Jun 2016
R source code formatter
Contributions:8 commits, 2 PRs, 10 pushes in 6 months
formattercode-formatter
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