Daniel Claborne
Senior Data Scientist
Richland, Washington, United States
Summary
👤
Senior🎓
Top SchoolDaniel Claborne is a Senior Data Scientist with eight years of applied experience building ML solutions across healthcare, bioinformatics, computer vision, audio analysis, and NLP. Holding dual master's degrees in Statistics and Computer Science, he blends rigorous statistical foundations with practical engineering to move models from research to production. At PNNL he led data-driven projects before joining Evolent to focus on healthcare ML—often pairing Shiny-based analytics with robust modeling. Comfortable with end-to-end workflows, he bridges exploratory analysis, interactive visualization, and scalable deployment. Colleagues know him for technical depth and an unexpected office role as the team's unofficial baker, a small but telling sign of his collaborative culture. Based in Richland, WA, he brings both research pedigree and hands-on delivery to complex, regulated data problems.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyMaster of Science Statistics, Master of Science Statistics at Oregon State University
Github Skills (129)
language-detection10
entity-extraction10
mass10
exploratory10
pyspark10
data-transformation10
correlation10
specification10
bioconductor10
spark-ml10
mass-spectrometry10
sentiment-analysis10
filtering10
nlp10
transformation10
Programming languages (9)
Github contributions (5)
pmartR/PMart_ShinyApp
Apr 2021 - Dec 2022
Contributions:134 commits, 8 branches, 2 comments in 1 year 8 months
clabornd/dmcblog
Nov 2022 - Feb 2023
A repository to build my (Daniel Claborne) personal website using Quarto. https://clabornd.github.io/dmcblog/
Contributions:24 commits, 22 PRs, 65 pushes in 2 months
quarto
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