During June 2025, contributed to the blackSwanCS/Higgs_collaboration_B repository by developing a Jet Energy Scale (JES) Uncertainty Analysis and Visualization feature. This work involved refactoring the jes_fitter module to systematically analyze JES uncertainties and visualize their impact on signal and background distributions across selected histogram bins. Leveraging Python for scientific computing, data analysis, and plotting, polynomial fitting was implemented to model JES-induced shifts and prepare for future alpha-parameter evaluation. The feature enhanced measurement robustness and provided early visualization tools, supporting data-driven decision-making and clearer communication of JES effects to stakeholders. No major bugs were addressed during this period.