Data Cleaning and Data Preprocessing

Performed comprehensive data cleaning and preprocessing on raw datasets to improve data quality and prepare data for analysis and machine learning applications. Tasks included handling missing values, removing duplicates, detecting and treating outliers, correcting data inconsistencies, feature encoding, data transformation, and normalization. Utilized Python, Pandas, NumPy, and data visualization techniques to ensure accuracy, reliability, and readiness for advanced analytics and predictive modeling.