Skip to content

README.md

Latest commit

 

History

History
88 lines (56 loc) · 2.38 KB

README.md

File metadata and controls

88 lines (56 loc) · 2.38 KB
Raw

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.

🔹 Key Dashboard

Sales Dashboard

🔹 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

📂 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

💻 Technologies Used

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

🔹 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

Sales 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