Jordan Perr-sauer
Researcher - Data Science
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolJordan Perr-sauer is a data science researcher at the National Renewable Energy Laboratory with 14 years of engineering experience focused on software development, AI, and renewable energy integration. He combines strong academic training—a MS in Computer Science and a BS in Applied Mathematics—with hands-on product and backend experience from co-founding a location-sharing startup and building Node.js services and mobile apps. At NREL he works in data analysis and visualization, applying scalable software practices to energy research problems. An early contributor to practical open-source front-end tooling, he implemented a Pandora connector for the popular Web Scrobbler extension, demonstrating attention to UX timing and robust data extraction. Based in Denver, he blends research-grade rigor with startup pragmatism to move algorithms into usable tools for energy systems.
14 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at University of Colorado DenverElectrical Engineering, Electrical Engineering at The Cooper Union for the Advancement of Science and ArtMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Colorado BoulderStuyvesant High School
Stackoverflow
1,499reputation
37kreached
14answers
3questions
Github Skills (14)
google-chrome-extension10
javascript10
chrome-extension10
front-end-development9
webextension9
algorithm6
embedded-jetty6
python-interactive6
data-structures6
google-chrome6
ipython6
linked-list6
python6
html5
Programming languages (10)
Github contributions (5)
web-scrobbler/web-scrobbler
Jan 2012 - Jan 2012
Scrobble music all around the web!
Role in this project:
Front-end Developer
Front-end DeveloperContributions:6 commits in 1 day
Contributions summary:Jordan primarily focused on developing a connector for the Pandora.com music streaming service within the web-scrobbler extension. They implemented the necessary JavaScript code to extract track information from Pandora's interface and send it to the scrobbling service. This involved creating functions to identify the song title, artist, and duration, addressing a 0-second duration bug, and integrating a 10-second delay to account for slow UI performance. The user also updated the options.html file to reflect Pandora.com support.
scrobblewebextensionlastfmlibrefmlistenbrainz
jordanperr/neuron_zoo
Aug 2018 - Dec 2022
Contributions:4 pushes, 1 branch in 4 years 4 months
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