Worked on the cedarcode/mi_carrera repository to enhance subject categorization by introducing numeric override methods within the YAML configuration. This update improved the underlying data structure, enabling more accurate categorization and streamlined subject identification for downstream analytics. The approach focused on maintainable code and clear commit history, ensuring future scalability and easier integration with analytics pipelines. Leveraging skills in YAML and data management, the work laid the foundation for faster subject lookups and more reliable analytics readiness. No major bugs were addressed during this period, as the primary focus remained on delivering this targeted feature enhancement to support evolving data requirements.