Worked on enhancing data visualization capabilities in the XENONnT/straxen repository, focusing on improving the clarity and consistency of waveform peak plots. Developed new features in Python to expand the range of colors and types available for peak visualization, allowing for more informative and interpretable waveform analysis. Refactored the plotting logic to dynamically handle multiple peak types and their associated styling, which improved both maintainability and readability of the codebase. Integrated these enhancements seamlessly into the existing plotting pipeline, ensuring compatibility across analyses. Demonstrated skills in data visualization, scientific computing, and Python, with a focus on maintainable and clear code.