During December 2024, Ke Jiang focused on improving the reliability of data visualizations and model selection in the CDCgov/wastewater-informed-covid-forecasting repository. He addressed a data integrity issue by identifying and removing a duplicate 'COVIDhub_CDC-ensemble' model from both the plotting style configuration and the model selection process. Using R and data analysis skills, Ke ensured that only unique and relevant models were included in analyses, which prevented inconsistent visuals and misleading comparisons. This targeted bug fix enhanced the trustworthiness of analytical outputs and streamlined the data pipeline by eliminating unnecessary queries, reflecting careful attention to detail and process efficiency.