Tushar Dhokariya integrated new data analysis and machine learning libraries into the aeon-toolkit/aeon repository by updating the pyproject.toml configuration. Using Python and leveraging skills in dependency management and data analysis, Tushar ensured that the updated dependencies were compatible with existing data processing pipelines and the project’s build system. This work enabled enhanced data processing and machine learning capabilities within the toolkit, supporting more robust analytics workflows and faster experimentation. The contribution focused on maintaining stability while expanding functionality, reflecting a targeted approach to dependency upgrades rather than broad architectural changes, and addressed a specific need for up-to-date ML support.