Data Analysis with Python using Pandas

erformed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python and Pandas to improve data quality and identify meaningful patterns. Handled missing values and duplicate records, organized and transformed datasets, and used filtering, grouping, and aggregation techniques to analyze trends and key metrics. Generated summary statistics and insights to support data-driven decision-making, with visualizations to communicate findings effectively.