In February 2025, Anna Poon developed a Jupyter Notebook workflow for the dsi-clinic/CMAP repository, focusing on river and stream image visualization. Using Python and Matplotlib, Anna implemented utilities to efficiently load and display PNG imagery, streamlining the process of hydrology data exploration within a notebook environment. She made targeted adjustments to RiverDataset parameters, optimizing data processing for improved responsiveness and rendering quality. This work established a reproducible entry point for stakeholders to analyze river imagery, enhancing the CMAP data pipeline’s visualization capabilities. The project demonstrated depth in data visualization and notebook-based workflow design, though it addressed a single feature.