Jonathan Street
London, England, United Kingdom
Summary
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SeniorJonathan Street is a data scientist with 15 years of experience who transitioned from a laboratory career in biochemistry and cardiovascular research to leading computational efforts in education technology. He has built AI-powered, open-source infrastructure for individualized learning pathways and currently applies data science and machine learning at Faculty to drive personalized outcomes. Jonathan has taught graduate-level programming and ML, developed curricula at FAES, and organizes the Washington, D.C. Python user group, blending pedagogy with community leadership. His background as a bench scientist gives him a rare, practical perspective on experimental design and reproducibility in data workflows. Based in London, he combines deep domain expertise, hands-on engineering, and an emphasis on explainable models for skills and workforce development.
15 years of coding experience
Github Skills (17)
flask8
fido-u2f8
flask-application8
authentication7
python7
micro-framework6
wsgi6
classification6
object-oriented-programming5
machine-learning5
web-framework4
django3
data-science3
werkzeug3
ncbi3
Programming languages (5)
Github contributions (5)
streety/flask-second-factor-auth
Apr 2018 - Jan 2023
Implementation of second factor authentication with FIDO U2F tokens in a flask application
Contributions:5 commits, 2 PRs, 2 pushes in 4 years 10 months
authenticationfido-u2fflask-application
biof509/biof509
Feb 2016 - May 2017
Contributions:114 commits, 3 PRs, 119 pushes in 1 year 3 months
pythondata-scienceobject-oriented-programmingmachine-learningobject-oriented
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