• Supported PhD research project on network performance of cloud game streaming platform GoogleStadia; created Python automation system to collect network metrics (latency, jitter, bandwidth) across 7 locations, capturing over 150k network traces using ping, iperf, netsh, flux, and speedtest • Contributed to second PhD research project on player performance; implemented Python analysis program incorporating Fitts’ Law to analyze player aim accuracy and movement patterns under varying network conditions • Presented research findings to the department on both projects

Automation of Loss Reserving using R programming and beginning backend work with R Shiny app development. Assisted with the analysis of loss data, creating loss triangles and calculating ultimate loss methods.