data-analysis-project

Professional Summary

This repository showcases practical data analysis and business intelligence projects using Python.
The projects focus on extracting insights from real-world datasets, supporting data-driven decision-making, and solving business problems—aligned with Data Analyst and Business Analyst roles.

Each project demonstrates skills in data cleaning, exploratory data analysis (EDA), visualization, and insight communication.

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Tools & Skills Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook
• Exploratory Data Analysis (EDA)
• Business Insight Generation
• Data Visualization & Reporting

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Repository Structure

data-analysis-project-main/
│
├── Supermarket-Sale-Analysis/
│   ├── data/
│   │   └── supermarket_sales.csv
│   │ 
│   ├── dashboard/
│   │   └── app.py
│   │ 
│   ├── visuals/
│   │   ├── Bar chart Sales By Customer type.png
│   │   ├── Bar chart Sales By Gender.png
│   │   ├── Monthly Sales trends.png
│   │   ├── Monthly_Sales_Trends.png
│   │   ├── actual_vs_predicted.png
│   │   ├── chart Payment Method Distribution.png
│   │   ├── error_distribution.png
│   │   └── sales by product line_barplot.png
│   │
│   ├── supermarket_sales_analysis.ipynb
│   └── README.md
│
├── AirBnb_price_dataset/
│   ├── data/
│   │   ├── Airbnb_Data.csv
│   │   ├── input_Data.csv
│   │   └── input_values_missing.csv
│   │
│   ├── dashboard/
│   │   └── app.py
│   │   
│   ├── Visuals
│   │    ├── heatmap.png
│   │    └── histoplot.png
│   │   
│   ├── airbnb-analysis.ipynb
│   ├── README.md
│   ├── requirements.txt
│   └── sample_output.csv
│   
├── .gitignore
└── README.md

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Author

Mainuddin Monsur Robin