Cleaned and prepared an Uber dataset using Python (Pandas & NumPy).
Key steps included: handling missing values, removing duplicates, converting date/time columns, extracting new features (day, month, hour, weekday/weekend), and formatting trip data.
This project highlights my skills in data cleaning and preprocessing with Python, making raw data ready for analysis and visualization.