Superstore Sales & Profitability Analysis

I analyzed a large retail sales dataset to identify key trends, business performance indicators, and factors affecting profitability.

Using Python, Pandas, Excel, and data visualization techniques, I cleaned and prepared the data, handled missing values, analyzed outliers, and performed Exploratory Data Analysis (EDA).

The analysis focused on:

* Sales and profit performance

* Product and category performance

* Customer and regional trends

* The impact of discounts on profitability

* KPI and business performance analysis

* Data visualization and actionable business insights

One of the key findings was that higher discount levels were associated with lower profitability in several areas.

This project demonstrates my ability to transform raw business data into clear insights that can support better decision-making.