Worked on the validmind/validmind-library repository to enhance data validation capabilities by implementing support for treating boolean data types as categorical within TabularDescriptionTables. Addressed the inclusion of boolean dtypes in categorical columns, resolving a specific issue and improving consistency for downstream analytics. Developed and integrated unit tests using pytest to ensure correct categorization behavior, focusing on robust data validation workflows. Utilized Python and Pandas to deliver these changes, emphasizing accuracy in data type handling and validation logic. The work contributed to more reliable analytics pipelines by refining how boolean values are processed and validated in tabular data structures within the library.