Nathan Day
Data Scientist CLIP Whisperer
Charlottesville, Virginia, United States
Summary
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Rockstar🎓
Top SchoolNathan Day is a data scientist with a decade of experience turning complex data into relevant search experiences, currently focused on multi-model AI and CLIP-driven relevancy at Eezy. He blends hands-on engineering—vector embeddings, Elasticsearch tuning, and reactive R dashboards—with a strong commitment to open-source tools and data literacy. Past roles include search engineering and retrieval research at OpenSource Connections and experimental data pipelines in biotech, where he built visualization-first analyses and dashboards for discovery. Known as a "CLIP whisperer," he pairs practical product impact with clear uncertainty-aware decisioning ("illuminating data decisions as intervals"). Based in Charlottesville, he brings a rare cross-disciplinary perspective—biotech experimental rigor applied to modern search and embedding systems.
10 years of coding experience
9 years of employment as a software developer
B.S. Degree, Biotechnology, B.S. Degree, Biotechnology at James Madison University
Spanish
Stackoverflow
10,551reputation
722kreached
317answers
3questions
shiny
top-5%
r
top-1%
dplyr
top-5%
data-visualization
top-5%
Github Skills (111)
opensearch10
relevance10
elasticsearch10
algolia10
r10
shiny10
htmlwidgets10
solr10
rio10
elasticsearch-plugin10
meilisearch10
search-engine10
integrate10
r-package10
information-retrieval10
Programming languages (8)
Github contributions (5)
nathancday/min_night
May 2018 - Nov 2019
An easy on the eyes Hugo blog theme with dark mode.
Contributions:13 commits, 7 PRs, 17 pushes in 1 year 6 months
eyeshugohugo-blogdark-modehugo-blog-theme
o19s/es-tmdb
Feb 2020 - Jan 2021
Elasticsearch TMDB examples
Contributions:2 reviews, 34 commits, 15 PRs in 11 months
tmdbelasticsearch-clienttlreelasticsearch
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