James Young

Data Scientist, NetApp

Applying data science as best as I can, to as many problems as I can, is how I spend a good majority of my time. When I’m not directly applying data science to NetApp projects, I like to keep myself engaged and sharp by building data science projects in my personal areas of interest. I use this site to share these projects when I can, in hopes it will energize others with ideas and questions that will further contribute to the data science ecosystem.


Data Scientist II – NetApp

December 2021 – Present

Data Science Intern (Summer 2020-December 2021)

Trained, evaluated, and deployed machine learning models for forecasting bookings and units sold. Improved forecast accuracy up to 20% at various levels in the hierarchy.

Data Science Student/Intern – Lawrence Livermore National Lab

Summer 2021

Used interpretable machine learning approaches as well as graph neural networks to predict chemical properties.


South Dakota State University
(2017 – Present) Ph.D. Candidate, Molecular Biology w/ Computational Focus, 1st Place – 3 Minute Thesis Competition (2018), EPSCoR Science Communication Fellowship (2019), Winner – Grant Competition – SDSU Grant Writing Class (2018)

South Dakota State University
(2020 – 2021) M.S., Data Science

University of Jamestown
(2013 – 2017) B.Sc., Biochemistry, Mel Arnold Chemistry Scholar, Fellow of Biochemistry Department, 4 years Football, NAIA-Daktronics All-American Scholar Athlete

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