Developed feature parity for Index.drop_duplicates within the snowflakedb/snowpark-python repository, focusing on enhancing data cleaning workflows and aligning behavior with Pandas. Leveraged Python for API development and data manipulation, implementing parameter validation to ensure robust handling of edge cases such as NaN values and empty indices. Comprehensive integration tests were added to validate correctness across diverse scenarios, supporting release readiness and improving reliability for index operations on real-world datasets. The work adhered to repository standards and emphasized measurable business value, contributing to the maintainability and consistency of Snowpark Python’s data processing capabilities without introducing any bug fixes during the period.