Summary
Paige Spell is a results-driven data scientist applying programming, science, and analytics to solve real-world problems. With 8 years of experience and currently at Pendo.io as a Senior Data Scientist, she previously advanced analytics at Elder Research and Red Hat, and led initiatives at Optum that used gradient boosting and SHAP explanations to reduce denial risk, saving $3.5 million annually. Based in Raleigh, North Carolina, she combines mathematical rigor with cross-functional collaboration, translating complex models into actionable insights for both technical and business stakeholders. Her background spans academic research on emissions and CO2 plume metrics, and biomedical analytics using random forests to identify distinguishing protein profiles in preterm infants, illustrating a versatile data science toolkit. She holds a BS in Mathematics from Appalachian State University and an MS in Analytics from the Institute for Advanced Analytics, reflecting a strong foundation in quantitative methods. Paige is known for efficiently managing multiple projects in fast-paced environments and communicating results clearly to drive data-informed decisions.
9 years of coding experience