Nathaniel Riordan
Machine Learning Engineer @Xbox Media Solutions Formerly Activision Blizzard Media
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WORK HISTORY
Machine Learning Engineer @Xbox Media Solutions Formerly Activision Blizzard Media
San Francisco, CA, US
End to End ownership of machine learning pipelines to support the ads business within Activision Blizzard King- Monitored and maintained multiple machine learning models across the globe for multiple games for fill rate and revenue optimization- Identified solutioned and deployed multiple bug fixes and algorithm convergence improvements- Abstracted reset functionality simplifying and eliminating the need for deployment engineering overhead- Independently brought low-tenure tensorflow models into production for earlier monetization- Designed developed and delivered re-training pipelines for lapsed spender models- Productionalized wide-and-deep neural-net training and retraining pipelines for age and gender segmentation models within GCP leveraging k8s on cloud composer. New models result in doubling coverage at an fbeta(0.5) of 60% for an estimated impact of $25M annually.
EDUCATION
Arizona State University
Doctor of Philosophy (Ph.D.), Electrical Engineering
University of Arizona
Professional Science Masters, Applied and Industrial Physics
University of Arizona
Bachelor's degree, Engineering Physics
ABOUT NATHANIEL RIORDAN
I am a data driven analytics professional with experience in applying statistical learning methods to solve enterprise level business challenges by providing actionable information-I have global team experience in high tech manufacturing-I work with customers to ensure the solution fits the problem-I thrive on fast-paced environments where there are multiple assignments, hard deadlines, ambiguous situations, limited resources and other barriers to problem solving-I value simplifying workflows through automation. Skills: Lean/Six Sigma Manufacturing SQL JMP Python/Pandas R/tidyverse Feature Selection Data mining Visualization Agile Development
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