Will Sorenson
Senior Applied Scientist at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolWill Sorenson is a Senior Applied Scientist with 11 years of experience building predictive models and production-ready data applications, currently optimizing renewable energy systems at AWS. He blends statistical rigor with pragmatic engineering—proficient in Python, R, JS, Spark, Docker, and AWS—to turn diverse data sources into actionable, easy-to-interpret web apps and dashboards. Previously he led data science at Octane Lending and contributed to data tooling at Tesla, demonstrating a track record of moving models from research into production. An open-source contributor to the Blaze project, he improved SQL slicing for big-data workflows, reflecting a practical focus on making analytics scale. With economics degrees from the University of Washington and Ludwig-Maximilians Universität München, he pairs quantitative insight with a user-centered approach to complex problems.
11 years of coding experience
2 years of employment as a software developer
Ludwig Maximilian University of MunichBachelor’s Degree, Economics, Bachelor’s Degree, Economics at University of Washington
German, Spanish
Github Skills (6)
sql10
python10
pandas8
numpy8
data-analysis7
sqlalchemy6
Programming languages (4)
Github contributions (5)
blaze/blaze
May 2015 - May 2015
NumPy and Pandas interface to Big Data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 1 PR, 5 comments in 13 days
Contributions summary:Will focused on enhancing the SQL slicing capabilities of the Blaze library. They implemented and refined SQL slicing features, handling open-ended slice statements. Their contributions included adding docstrings, improving exception descriptions, and addressing conflicts within the codebase. These changes provide more flexible data querying functionality against SQL backends.
big-datanumpypandas
Will-So/pandas
Mar 2015 - Jan 2024
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:1 PR, 2 pushes, 1 branch in 8 years 11 months
polarspythondatalabeled-datamanipulation
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