Worked on the XENONnT/fuse repository to enhance data reliability in particle interaction analysis by addressing a critical classification bug. Focused on improving the accuracy of lineage and merge cluster analytics, the developer implemented a targeted fix in Python to ensure positrons and electrons are correctly identified, resolving previous mislabeling of positrons as beta particles. This update involved precise modifications to lineage_cluster.py and merge_cluster.py, directly reducing misclassification errors and strengthening downstream data analysis. Demonstrated skills in data analysis and physics simulation, applying careful debugging and Git-based change management to deliver a robust solution that improves overall data quality and reporting accuracy.