Sales-Revenue-Analysis

📊 Sales Analysis Dashboard | Python & Power BI

This project focuses on sales data analysis using Python and Power BI.
Python is used for data cleaning, preprocessing, and exploratory data analysis, while Power BI is used to create an interactive dashboard for visualizing key sales insights.

---

🚀 Project Overview

The goal of this project is to analyze sales performance and present meaningful insights through clear and professional visualizations.
The project demonstrates real-world data analysis and business intelligence skills.

---

🛠️ Tools & Technologies

• Python
• Pandas
• Power BI
• CSV Dataset

---

🔍 Analysis Performed Using Python

• Data cleaning and preprocessing
• Handling missing and inconsistent values
• Exploratory Data Analysis (EDA)
• Summary statistics and trend analysis

---

📊 Power BI Dashboard Highlights

• Total Sales Overview
• Monthly and Yearly Sales Trends
• Product-wise Sales Performance
• Category and Region-based Analysis
• KPI cards and interactive visuals

---

📌 Key Insights

• Identified top-performing products and categories
• Observed seasonal sales trends
• Compared regional sales performance

---

📈 Future Improvements

• Add more datasets for deeper analysis
• Implement forecasting models
• Automate data refresh
• Add customer segmentation

---

🤝 Contributions

Suggestions and improvements are welcome.