Using Python's powerful libraries such as pandas and numpy, I cleaned, processed, and transformed datasets to ensure data quality and integrity. This project involved tasks like handling missing values, normalizing data, and creating new features, enabling more accurate and insightful analysis for data-driven decision-making.