Worked on the CDCgov/wastewater-informed-covid-forecasting repository to enhance the reliability of data visualizations and model selection processes. Focused on identifying and removing a duplicate 'COVIDhub_CDC-ensemble' model entry, the work involved updating the plotting style configuration and filtering out redundant models from queries and selections. Using R and data analysis skills, the changes ensured that only unique and relevant models were included in analyses, preventing inconsistent visuals and misleading comparisons. This targeted bug fix improved data integrity and pipeline efficiency by eliminating unnecessary queries, ultimately supporting more trustworthy analytical outputs for downstream users and analysts.