🪑 Furniture Sales Data Cleaning & Analysis🎯 Leveraged Python for ETL and SQL Server for deriving sales performance insights from furniture transaction data.

📌 Table of Contents

• About
• Tech Stack
• Features

🧠 About A data cleaning and analysis project on a furniture sales dataset. Data is cleaned using Python (pandas) and analyzed with SQL Server to extract business insights like top products, regions, and profit trends.

💻 Tech Stack Python (pandas, numpy) SQL Server Jupyter Notebook

✨ Features ETL pipeline for raw sales data Cleaned and structured data using pandas Uploaded to SQL Server for analysis SQL queries for top-selling products, regional sales, profit margins