Nathan Diekema

Data Scientist

Pebble Health•  March 2023 - Present

Implemented and iteratively refined a risk-based pricing model in Python to estimate group healthcare spend, achieving a 6% reduction in MAE and enabling the development of more affordable HRA-driven health plans. Dramatically improved run-time efficiency of risk model code by 80%, enabling faster decision-making. Built an interactive dashboard in HEX to track monthly HRA spend, providing real-time insights into spending patterns. Collaborated closely with the sales team and clients to develop tailored health plans, aligning with unique client needs. Enhanced health plan proposal efficiency through the implementation of an automated proposal generation system, achieving a notable 60% reduction in proposal creation time