Nathan Pool is a Senior Analytics Software Tester with a decade of experience applying analytics, machine learning, and rigorous testing to production-grade statistical software at SAS. He blends a strong academic foundation in computer science and applied mathematics with hands-on work validating algorithms, automating test frameworks, and mentoring testing teams across functional, performance, and validation domains. His background in remote sensing and zero-shot learning for object detection informs his current focus on spatio-temporal data analytics for climate and environmental insights. Known as a curious lifelong learner, he moves fluidly between research-level ML experimentation and pragmatic test engineering to ensure analytical correctness at scale.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at North Carolina State University
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Elon University
Contributions:1 release, 34 pushes, 1 branch in 22 days
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Nathan Pool - Senior Analytics Software Tester at SAS