Berkeley SETI is part of a wider organization working to find evidence of Intelligent Extraterrestrial life.
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Helping create new Breakthrough Listen website in Django & Wagtail; Refactoring Open Data Archive into Django & Angular from previous implementation in Javascript & Flask for future sustainability and integration into new site
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Implemented a series of additional filtering options and cadence search to both the frontend and backend of the public data archive using Python and SQL; Optimized cadence search runtime by ~1200x
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Integrated Redis data into the Open Data Archive (http://seti.berkeley.edu/opendata) to grade file “quality”
This project was aiming to understand how spatial memory and recall is handled in the hippocampus, via mice on a VR track.
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Designed and created a program that parses, summarizes, and displays all information output from the virtual reality system in a Human Readable format.
Implemented a searchable database with data visualizations via AWS and Tableau by extracting data from an online forum; Led this project initiative by iterating with the business team to ensure requirements were satisfied
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Demonstrated proficiency with a selection of machine learning algorithms and techniques (neural networks, NLTK, principal component analysis, random forests, etc.) as part of the onboarding process