Skip to content

guthayaswanth0123/Blinkit-dashboard

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🛒 Blinkit Business Intelligence Dashboard 📊 Real-Time Retail Analytics & Decision Support System 🔷 Project Summary

The Blinkit BI Dashboard is an end-to-end Data Analytics & Visualization Project designed to simulate a real-world Quick-Commerce Business Intelligence System.

The project integrates MySQL Relational Databases, Python Automation (ETL), and Power BI Visualization to deliver real-time insights into sales, customers, inventory, marketing performance, and customer feedback.

🎯 Objectives

Transform raw retail data into actionable business insights

Optimize sales & inventory decisions

Analyze customer behavior and retention

Monitor marketing ROI

Enable data-driven decision making

🧰 Tech Stack Category Tools Database MySQL Workbench ETL Automation Python (Pandas, NumPy, SQL Connector) Visualization Microsoft Power BI Version Control Git & GitHub Data Volume 50,000+ Records Tables 14 Relational Tables 🗄 Database Design

14 Normalized Tables

Foreign Keys & Indexing

Multi-Table JOIN Queries

Master Analytics Table Creation

Query Optimization for Performance

⚙️ Automation Pipeline

Python ETL Tasks

Bulk CSV/Excel Import

Data Cleaning & Transformation

Automated Table Updates

Real-Time Data Refresh

Error Logging & Validation

📌 Dashboard Modules 🏠 Home Page – Navigation & KPI Hub Screenshot (44)

Highlights

Brand Introduction

Navigation Buttons

Business Tagline

Clean UI/UX Design

🌍 Overview Page – Business Snapshot

Insights

Total Orders

Revenue Trends

Inventory Status

Marketing Summary

Customer Count

Feedback Panel Screenshot (45)

💰 Sales Overview – Revenue Intelligence

Metrics

Monthly & Yearly Sales

Top Products

Area-Wise Sales

Payment Methods

Customer Segments

Growth Analysis Screenshot (46)

👥 Customer Analytics – Behavior & Retention

Reports

New vs Repeat Customers

Monthly Customer Growth

Top Buyers

Segmentation Analysis Screenshot (47)

⭐ Feedback Analytics – Sentiment Intelligence

Analysis

Rating Distribution

Positive / Neutral / Negative Trends

Product Quality Insights

Delivery Experience Reviews Screenshot (48)

📦 Inventory Management – Stock Monitoring

Tracking

Available Stock %

Damaged Stock %

Stock Movement

Reorder Indicators Screenshot (49)

📢 Marketing Analytics – Campaign Performance

KPIs

Clicks

Impressions

Conversions

Revenue Generated

ROI Analysis

Spend vs Profit Trends Screenshot (51)

🔄 Project Workflow Data Collection ↓ Data Cleaning (Python) ↓ MySQL Storage ↓ SQL Joins & Master Table ↓ ETL Automation ↓ Power BI Visualization ↓ Performance Optimization

📈 Performance & Optimization

Indexed High-Traffic Tables

Reduced Query Time by ~35%

Automated Refresh Cycles

Scalable Data Model

🧠 Skills Demonstrated

Advanced SQL

Data Modeling

ETL Automation

Dashboard Design

Business Analytics

UI/UX Structuring

Performance Tuning

Data Storytelling

🔮 Future Enhancements

Cloud Deployment (AWS / Azure)

Machine Learning Forecasting

API Live Data Integration

Role-Based Access Control

👨‍💻 Author

Yaswanth Gutha

About

I developed an end-to-end Blinkit Grocery Sales & Performance Analytics Dashboard using MySQL, SQL, Python, and Excel to simulate an industry-level business intelligence workflow. The project involved extracting and storing large transactional datasets in MySQL, performing complex SQL queries, joins, aggregations, and data validation to ensure data

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors