Callin Osborn is a data scientist with nine years of experience turning messy data into actionable solutions, currently automating reporting, cleaning data pipelines, and building dashboards at Premier Employee Solutions in Provo, Utah. He holds a Master’s in Applied Statistics from DePaul and a BS from BYU, and has practical experience deploying machine learning models—random forests and logistic models—to prioritize pipeline risks and forecast environmental hazards. Comfortable across R, Python, SQL, and Tableau, he bridges analytics and stakeholder communication to make complex datasets useful for operational decisions. Notably, he has led nonprofit analytics projects and built electronic data-collection workflows that streamlined ingestion into SQL Server, reflecting a penchant for end-to-end data systems, not just models.
9 years of coding experience
Master’s Degree, Applied Statistics, Master’s Degree, Applied Statistics at DePaul University
Bachelor’s Degree, Applied Statistics and Analytics, Bachelor’s Degree, Applied Statistics and Analytics at Brigham Young University
Contributions:5 commits, 4 pushes, 1 branch in 1 month
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