Sangeeta Bhatia developed a feature for the UCL/TLOmodel repository that ensures demographic visualizations display age groups in a consistent, predefined order. Using Python and leveraging data analysis and data visualization skills, she implemented a sorting mechanism for population data by age group before plotting, and reindexed the 'num_by_age' variable to match established age group categories. This approach addressed inconsistencies in demographic plots, improving the accuracy and reliability of visual outputs. The work enhanced the repeatability of demographic reporting and downstream analytics, providing a more stable foundation for data-driven decision-making within the project’s analytical workflows.