Exploratory Data Analysis for Retail Sales Optimization

Conducted exploratory data analysis (EDA) on a large retail dataset to identify key sales patterns, trends, and product performance metrics. Utilized Python libraries like Pandas, NumPy, Matplotlib, and Seaborn for comprehensive data visualization and insight generation.

Discovered critical customer purchasing trends and seasonal sales spikes, leading to optimized inventory management and marketing strategies for the retail chain.