data analytics project showcasing customer behaviour analysis using power bi ,sql and python Here’s a clean, professional, recruiter-friendly README.md you can directly paste into your project:
This project demonstrates a complete end-to-end Data Analytics workflow — from raw data processing to business insights and dashboard reporting.
The objective of this project is to:
- Load and process raw data using Python
- Perform Exploratory Data Analysis (EDA) and data cleaning
- Store and query data using SQL (PostgreSQL)
- Build an interactive Power BI dashboard
- Generate a structured analytical report
- Create a presentation using Gamma
This project showcases practical skills in data analysis, SQL querying, business intelligence, and reporting.
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Source: (https://surl.li/aspzsj)
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Format: CSV
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Size: (e.g., 10,000+ records)
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Features include:
- Numerical variables
- Categorical variables
- Date/time columns
- Business KPIs
The dataset was cleaned and structured before analysis.
| Category | Tools |
|---|---|
| Programming | Python |
| Libraries | Pandas, NumPy |
| Database | PostgreSQL |
| SQL | Joins, Aggregations, CTEs, Window Functions |
| Visualization | Power BI |
| Reporting | MS Word / PDF |
| Presentation | Gamma |
- Imported dataset using Pandas
- Inspected structure and data types
- Checked missing values and duplicates
- Statistical summary
- Distribution analysis
- Correlation analysis
- Outlier detection
- Trend and pattern discovery
- Handled missing values
- Removed duplicates
- Standardized formats
- Feature engineering where required
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Loaded cleaned data into database
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Wrote optimized SQL queries:
- Aggregations (SUM, AVG, COUNT)
- Joins
- GROUP BY analysis
- Subqueries
- Window functions
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Extracted business insights using SQL
- Connected Power BI to SQL database
- Built interactive dashboards
- Created KPIs and visual insights
- Implemented filters and slicers
- Designed clean, business-ready visuals
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Structured business report summarizing:
- Key insights
- Trends
- Performance metrics
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Created presentation slides using Gamma for stakeholder communication
The Power BI dashboard includes:
- KPI summary cards
- Revenue / performance trends
- Category-wise breakdown
- Geographic analysis (if applicable)
- Interactive filters
- Drill-down functionality
The dashboard enables decision-makers to quickly interpret data and identify actionable insights.
- Identified top-performing categories/products
- Discovered trends and seasonal patterns
- Highlighted performance gaps
- Provided data-driven recommendations
This project demonstrates the ability to translate raw data into meaningful business insights.
git clone <repository-link>
cd <project-folder>pip install -r requirements.txtpython eda_analysis.py- Create database in PostgreSQL / MySQL / SQL Server
- Import cleaned dataset
- Run SQL queries provided in
/sqlfolder
- Open
.pbixfile - Update database connection if needed
- Refresh data
- Data Cleaning & Preprocessing
- Exploratory Data Analysis
- SQL Query Optimization
- Business Intelligence Reporting
- Dashboard Design
- Data Storytelling
- End-to-End Analytics Workflow
This project reflects a production-style data analytics pipeline — integrating Python, SQL, and Power BI to deliver business insights in a clear, structured, and decision-oriented manner.
It demonstrates both technical depth and business understanding, making it suitable for Data Analyst / Business Intelligence roles.
If you want, I can now:
- ✨ Customize this README for a specific dataset (Sales / HR / Finance / Healthcare)
- ✨ Make a stronger “resume impact” version
- ✨ Add GitHub badges and visuals
- ✨ Convert this into a professional portfolio description
Tell me which one you want.