Loann Lecointre developed a Jet Energy Scale (JES) Uncertainty Analysis and Visualization feature for the blackSwanCS/Higgs_collaboration_B repository, focusing on systematic uncertainty quantification in high-energy physics measurements. Using Python and leveraging skills in data analysis and scientific computing, Loann refactored the jes_fitter module to analyze and visualize shifts in signal and background distributions across JES variations for selected histogram bins. Polynomial fitting was implemented to model JES-induced shifts, laying groundwork for future alpha-parameter evaluation. The work provided early visualization tools and analytics, supporting data-driven decision-making and clearer communication of JES effects, with a focus on code quality and maintainability.