Turning Complex Data Into Clear Advantage

Riya focuses on transforming complex data into intelligent systems that drive clarity, speed, and precision in healthcare finance. Her work sits at the intersection of data engineering, machine learning, and real-time analytics—turning large-scale datasets into actionable insight.

Prior to joining Cylerity, she worked as a Research Data Engineer at the Wisconsin IceCube Particle Astrophysics Center, where she processed and analyzed multi-terabyte cosmic-ray datasets from global observatories. She developed scalable data pipelines, applied statistical modeling techniques, and improved real-time analysis performance for large, distributed scientific systems.

She studied Computer Science and Astronomy-Physics at the University of Wisconsin–Madison, where her academic work focused on understanding complex systems through data, modeling, and computational analysis.