Capstone Project: Online Retail Sales Data Analysis
Analyzed 500,000+ retail sales records using Python, resolving missing values and inconsistencies to achieve 95%+ data accuracy. Conducted exploratory data analysis to identify sales trends, customer behavior, and regional product performance. Developed visualizations using Matplotlib and Seaborn, reducing reporting effort by 30% and improving data interpretation.