Retail Sales Data Analysis & Visualization (Python)

In this project, I performed a comprehensive Data Analysis on a Retail Sales dataset using Python.

Key Achievements:

Data Cleaning: Handled missing values and formatted data for analysis using Pandas.

Exploratory Data Analysis (EDA): Identified sales trends, seasonal patterns, and top-performing product categories.

Data Visualization: Created insightful charts using Matplotlib and Seaborn to communicate findings clearly.

Insights: Provided actionable recommendations based on customer purchasing behavior.