Evan Madurai enhanced Monte Carlo analysis capabilities for the RocketPy-Team/RocketPy repository by improving the visualization and statistical reporting of simulation results. He introduced boxplots to existing histogram visualizations using Matplotlib, enabling clearer representation of data distributions and uncertainty. Evan also expanded the printed statistics to include the median and 95% prediction intervals, supporting more robust risk assessment and data-driven decision making. His work leveraged Python and scientific computing techniques to deliver more informative outputs for users analyzing simulation analytics. Over the course of the month, Evan focused on depth by refining a single feature that improved data interpretation and uncertainty quantification.