Retail Store Sales Analysis 📊

Project Overview

Retail Store Sales Analysis is a data analytics project that extracts actionable insights from retail sales data.
It explores historical sales patterns, identifies trends, and presents interactive dashboards to help businesses optimize:

• Sales strategies
• Inventory management
• Marketing campaigns

This project highlights skills in data cleaning, analysis, visualization, and dashboard creation, making it ideal for roles in Data Analytics, Business Intelligence, and Data Science.

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🔹 Key Dashboard

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🔹 Features

1. Exploratory Data Analysis (EDA)

• Analysis of sales trends over time
• Identification of top-selling products and categories
• Insights into store performance and customer behavior

2. Data Visualization

• Interactive charts and graphs for quick insights
• Visual representation of revenue, profit, and sales distribution

3. Power BI Dashboard

• Dynamic dashboards for business decision-making
• Filters and drill-down options for detailed analysis

4. Data Cleaning & Preparation

• Handling missing and inconsistent data
• Preparing datasets for accurate analysis

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📂 Project Structure

Retail_Store_Sales/

├── data/ # Raw and cleaned datasets

├── notebooks/ # Jupyter notebooks for EDA and analysis

├── dashboards/ # Power BI dashboard files

├── images/ # Screenshots and visualizations

├── README.md # Project documentation

└── requirements.txt # Python dependencies

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💻 Technologies Used

• Programming & Data Analysis: Python, Pandas, NumPy
• Visualization: Matplotlib, Seaborn, Plotly
• Dashboard & BI Tools: Power BI
• Version Control: Git & GitHub

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🔹 Key Insights

• Identified top-performing products and stores driving the majority of sales
• Highlighted seasonal trends for better inventory planning
• Developed interactive dashboards for actionable business insights

📌 Author

Soham Waghe

GitHub: https://github.com/sohamwaghe

Passionate about turning data into actionable insights and building recruiter-impressive analytics projects.

🚀 How to Run the Project

1. Clone the repository:

git clone https://github.com/sohamwaghe/retail_store_sales.git