Global Superstore: Strategic Sales & Profitability Analysis

I performed a comprehensive analysis of the Global Superstore dataset to uncover hidden trends in sales performance, customer behavior, and regional profitability. This project demonstrates my ability to transform raw data into actionable business intelligence using modern data science techniques.

Key Technical Features:

Data Wrangling: Performed extensive data cleaning and preprocessing using Pandas to handle missing values and inconsistent formatting.

Exploratory Data Analysis (EDA): Conducted deep-dive analysis to identify top-performing product categories and high-growth geographic regions.

Visual Intelligence: Created advanced visualizations using Matplotlib and Seaborn to represent complex sales trends and profit margins clearly.

Business Impact: Developed a data-driven model to identify the key drivers of customer churn and profitability bottlenecks.