Samuel Thomas
Software Engineer at Amazon Music
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolSamuel Thomas is a software engineer based in San Francisco with nine years of experience building data-driven solutions, currently contributing at Amazon Music after a multi-role tenure at Nuna Inc. He blends a formal background in Information & Computer Sciences with hands-on data science training (Python, SQL, ML) and practical experience cleaning, visualizing, and modeling data to drive business insights. Samuel’s early hustle as a door-to-door salesperson shaped a persistent, experiment-driven approach to problem solving—he treats setbacks as learning steps and iterates quickly. Experienced mentoring ML students and writing for data-science audiences, he communicates technical ideas clearly to both engineers and stakeholders. Outside work he enjoys politics, history, sci-fi and lively philosophical debates, which inform his curiosity-driven approach to engineering and product questions.
9 years of coding experience
4 years of employment as a software developer
Data Science, Python, SQL, Machine Learning, Data Science, Python, SQL, Machine Learning at SpringboardUniversity of California, IrvineGithub contributions (5)
satyamt13/Project_Amazon_reviews_NLP_recommender_system
Oct 2018 - Jan 2020
Contributions:16 commits, 13 pushes, 1 branch in 1 year 3 months
satyamt13/satyamt13.github.io
Oct 2016 - Jun 2020
Contributions:57 pushes, 1 branch in 3 years 8 months
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