Kelly earned a bachelor’s and master’s in physics at Stanford and U.C. Berkeley and studied geophysics for her PhD, but discovered the new, exciting field of data science during her research. She applied for a data science position at Radius because she wanted to use her analytical skills to solve business problems with information.
After a goal-oriented stand-up team meeting, Kelly develops and produces experiments to test data quality, explore efficiency, and identify new patterns. Kelly evaluates new resources at each stage in Radius’ data pipeline to improve sources and verify accuracy, ensuring customers always have access to the most reliable information possible.