Reatail Sales Analysis Project

# ️ Retail Sales Analysis with Python

This is an end-to-end data project exploring trends in retail sales using real-world transactional data. I cleaned, analyzed, and visualized retail sales data to uncover patterns, identify top-performing products, and evaluate customer purchasing behavior.

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## Objective

To analyze key trends in retail transactions, customer behavior, and product performance.

**Key Focus:** What drives revenue in retail — and which products and customer segments are most valuable?

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## ? Tools Used

- **Python** (Pandas, NumPy, Seaborn, Matplotlib)

- **Jupyter Notebook**

- **Power BI**

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## ️ Data Collection

- `complex_retail_sales_data.csv` – Sourced from Kaggle (includes invoice-level sales data across products, customers, and countries)

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## Key Questions Explored

- What are the top-selling products by revenue and quantity?

- Which countries contribute the most to sales?

- Are there any seasonal trends in sales volume?

- Who are the most valuable customers?

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## Visual Insights

The interactive Power BI dashboard includes:

- Revenue trends over time

- Top countries by sales

- Product-level sales performance

- Customer segmentation

- Monthly and seasonal trends

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## ️ About Me

I'm **Adam Abozaid**, a data analyst passionate about using data to uncover patterns and support smart business decisions.

This project demonstrates my ability to work across the full analytics lifecycle — from **data cleaning** to **analysis** and **interactive dashboard creation**.

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## Contact

I'm open to feedback, collaborations, and new opportunities.

adamabozaid18@gmail.com