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Built an interactive 8-page Power BI dashboard to analyze Blinkit’s sales, customers, products, inventory, marketing, orders, and delivery performance.
I transformed raw data into an interactive reporting solution using Power BI, focusing on KPI tracking, sales trends, customer behavior, product performance, and operational insights.
Tools: Power BI, Excel, Data Cleaning, Data Visualization
Key skills demonstrated: Data modeling, KPI development, interactive dashboards, business analysis, filtering/slicers, and data storytelling.
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Built an end-to-end e-commerce BI solution using SQL and Power BI. Cleaned and modeled website session, pageview, order and refund data, developed business KPIs and interactive dashboards to analyze sales, customer behavior, conversion, and marketing performance.
great work💯
I’ve been working on something I’ve wanted to build for a while — Analytics Copilot.
It’s an AI-powered analytics and business reporting tool designed around a simple idea:
Turn raw business data into a clean, useful, professional report without making the user go through a complicated workflow.
In real-world reporting, the difficult part often isn’t creating a chart.
It’s everything that comes before it.
You may have:
• Multiple Excel or CSV files
• Different sheets and data structures
• Inconsistent date formats
• Numbers stored as text
• Missing or duplicate records
• Inconsistent categories or locations
• Data that needs cleaning before analysis
Analytics Copilot is being designed to help with that workflow.
The user imports their data, the system analyzes the datasets and identifies potential data-quality issues, then helps prepare the data before moving into analysis, KPIs, dashboards, and MIS reporting.
The goal is not to replace Excel or Power BI.
I don’t think every business reporting task needs a complex BI workflow.
Sometimes a user simply needs to take their operational data, clean it properly, analyze the important metrics, create a professional report, and share it with management — quickly.
That’s the problem I’m tryin to solve.
The project is still under development, and there are several important features still being built, especially around advanced data cleaning, data modeling, automated measures, dashboard customization, and reporting.
I’m sharing the current version because I’d love to get feedback from other Data Analysts, BI professionals, Data Scientists, and developers working with real-world data.
Project links:
🔗 GitHub Repository: [https://github.com/SajeebTheAnalyst/Analytics-Copilot]
🔗 Live Tool: [https://analyticscopilot.vercel.app/]
🔗 Portfolio: [https://sajeeb-the-analyst.vercel.app/]
What would you add to a tool like this to make the reporting workflow genuinely useful for a business analyst or MIS team?
#DataAnalytics #DataAnalyst #DataScience #DataScientist #BusinessIntelligence #BI #PowerBI #Excel #SQL #Python #MachineLearning #ArtificialIntelligence #AI #GenerativeAI #DataEngineering #DataVisualization #DataCleaning #DataQuality #DataAnalysis #MIS #MISReporting #BusinessAnalytics #Analytics #Dashboard #KPI #Reporting #DataDriven #DataManagement #Automation #AIAutomation #AnalyticsEngineering #BusinessIntelligenceTools #DataTo
Superstore Sales Performance Dashboard | Python + Streamlit
I recently worked on a complete data analysis and visualization project using the Superstore dataset.
The goal was to transform raw data into a clear and interactive dashboard that makes business performance easier to understand and explore.
Data Cleaning & Preparation
Cleaned and prepared the dataset using Python in Jupyter Notebook
Handled data inconsistencies and prepared the data for analysis
Created the necessary transformations and metrics
Data Analysis
Sales and revenue analysis
Order and customer analysis
Customer segmentation
Product and category performance
Temporal and seasonal analysis
Identification of top-performing and loss-making products
Interactive Dashboard
I developed the dashboard using Python + Streamlit, with interactive filters for:
Date
Category
Sub-category
Segment
Region
The dashboard includes KPIs such as revenue, number of orders, average basket value, and number of customers, along with interactive charts and detailed breakdowns.
Tools & Technologies:
Python • Pandas • NumPy • Jupyter Notebook • Streamlit • Plotly
This project was a great exercise in turning raw business data into actionable insights through an interactive data product.
#DataAnalysis #Python #Streamlit #Pandas #DataScience #Dashboard #DataVisualization #JupyterNotebook #Analytics
