Alex Jenkins-neary
Software Engineer at Hogan Lovells
Louisville, Kentucky, United States
Summary
👤
Senior🎓
Top SchoolAlex Jenkins-neary is a software engineer and data scientist with eight years of experience building data pipelines, machine learning models, and production APIs, currently applying those skills at Hogan Lovells. With a background in mathematics and economics and formal training from Lambda School, he has shipped end-to-end projects from NLP content moderation systems to deployed recommendation APIs. He pairs strong Python and SQL expertise with practical model engineering—evident in a content moderation model that improved accuracy from 56% to 91% and a deployed Spotify recommender. Previously trained as a tax accountant and Enrolled Agent, he brings disciplined attention to correctness and compliance when designing data systems. Based in Louisville, KY, Alex looks for challenging opportunities that bridge rigorous data analysis and reliable software delivery.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Economics, Bachelor of Science - BS, Mathematics, Economics at Centre CollegeData Science, Data Science at Lambda School
Github Skills (17)
scrapy6
python5
fastapi4
jekyll4
jekyll-theme4
tensorflow3
nlp-machine-learning3
databases1
plsql1
deploying1
data-science1
pandas1
oracle1
science1
database1
Programming languages (2)
Github contributions (5)
alexmjn/alexmjn
Aug 2020 - Oct 2023
Contributions:10 pushes, 1 branch in 3 years 2 months
spotify-song-suggester-6/data-science
Mar 2020 - Sep 2020
Contributions:14 PRs, 24 pushes, 1 branch in 6 months
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