
David Stom worked on the uhh-cms/cmsdb repository, focusing on improving dataset management and code quality for physics analysis campaigns. He delivered features that standardized dataset naming and campaign mappings, particularly for QCD and top quark mass variation datasets, enhancing cross-campaign data integrity. Using Python, he refactored configuration files, centralized dataset definitions, and applied code formatting and linting to improve maintainability and CI reliability. His work included reorganizing datasets into dedicated modules and clarifying naming conventions, which reduced misconfigurations and streamlined onboarding. These targeted improvements established a more robust foundation for future updates and reliable downstream data analysis.

In April 2025, delivered a targeted dataset configuration refactor for 2018 NanoAODv9 in uhh-cms/cmsdb, focusing on maintainability and clarity. Actions included moving Top Quark datasets to a dedicated top.py, renaming 'mt shifted' datasets to include 'mt' for explicitness, removing an unused import, light formatting tweaks, and relocating the 2018 muon dataset to data.py. These changes reduce misconfigurations, speed onboarding, and establish a cleaner foundation for future campaign updates. This work enhances reliability of downstream analyses and supports faster data configuration workflows.
In April 2025, delivered a targeted dataset configuration refactor for 2018 NanoAODv9 in uhh-cms/cmsdb, focusing on maintainability and clarity. Actions included moving Top Quark datasets to a dedicated top.py, renaming 'mt shifted' datasets to include 'mt' for explicitness, removing an unused import, light formatting tweaks, and relocating the 2018 muon dataset to data.py. These changes reduce misconfigurations, speed onboarding, and establish a cleaner foundation for future campaign updates. This work enhances reliability of downstream analyses and supports faster data configuration workflows.
November 2024 monthly summary for uhh-cms/cmsdb focused on dataset consistency, campaign mappings, and code quality improvements. Delivered two major features improving cross-campaign data integrity, plus targeted code lint cleanups to raise CI reliability.
November 2024 monthly summary for uhh-cms/cmsdb focused on dataset consistency, campaign mappings, and code quality improvements. Delivered two major features improving cross-campaign data integrity, plus targeted code lint cleanups to raise CI reliability.
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