* Performed data cleaning and preprocessing to improve data quality and prepare the cancer dataset for further analysis.
* Used Python and Pandas to process and transform the dataset.
* Established a connection between Python and SQL Server using SQLAlchemy to enable database interaction.
* Exported the processed dataset into a new SQL Server database for structured storage and further querying.