Juliette Paul

Lecturer In Natural Language Processing At Graduate MS In Data Science

Memphis, Tennessee, United States
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Summary

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Rockstar
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Juliette Paul is a data scientist and educator with 11 years’ experience blending literary scholarship and machine learning to teach and build NLP-driven tools for graduate data science programs. As a lecturer in NLP and director of an honors program at Christian Brothers University, she designs innovative curricula and public-facing projects that make eighteenth-century texts and modern datasets equally compelling. Her background—PhD in eighteenth-century British literature plus an MS in Data Science—gives her a rare ability to translate humanities questions into reproducible code and interpretable analytics. She contributes practical engineering to deployment tooling (notably refactoring and modularizing the deployinator project) and teaches machine learning at NC State’s Data Science and AI Academy. Known for storytelling through data and software, she emphasizes good data design, modular systems, and creative uses of AI that illuminate users’ curiosity.
code11 years of coding experience
bookThe University of Utah
bookBachelor of Arts - BA, English, Bachelor of Arts - BA, English at Providence College
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Christian Brothers University
bookSummer School, Processing XML/TEI with the XML Family of Languages, Summer School, Processing XML/TEI with the XML Family of Languages at Université de Montréal
bookSummer School, Digital Humanities & Research Software Engineering, Summer School, Digital Humanities & Research Software Engineering at King's College London
bookUniversity of Missouri
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Github Skills (5)

sinatra10
deployment-automation10
ruby10
package-development9
websocket8

Programming languages (6)

TypeScriptCJavaScriptGoLuaRuby

Github contributions (5)

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etsy/deployinator

Nov 2014 - May 2017

Deployinate!
Role in this project:
userFull-stack Developer
Contributions:3 releases, 237 commits, 46 PRs in 2 years 6 months
Contributions summary:Juliette's contributions primarily involve refactoring and expanding the functionality of the `deployinator` project. They focused on moving the core functionality of `deployinator.rb`, enhancing helper functions (particularly for DSH), and introducing a plugin architecture. Moreover, the user integrated version helpers, built version and build endpoints, and moved the tailer and other view-related code into a gem. This suggests a focus on improving the system's modularity and features for deployment management.
kubernetesdocker
jayson/glare

Aug 2015 - Mar 2016

Contributions:1 release, 32 commits, 1 PR in 7 months
replacementglance
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Juliette Paul - Lecturer In Natural Language Processing At Graduate MS In Data Science