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