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Data Analytics Project | BlinkIT Grocery Sales Analysis
Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈
📊 What I worked on:
Analyzed sales performance across product categories, outlet types, sizes, and locations
Identified top-performing item categories and customer preferences
Studied the impact of outlet size, establishment year, and visibility on sales
Converted raw data into actionable insights and business recommendations
💡 Key Insights:
Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales
FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz
)
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Related posts
I’m excited to share my latest Data Analytics project where I analyzed Customer Shopping Behavior to uncover trends in sales, demographics, and purchasing habits.This project was a great exercise in building a complete data pipeline.
The Tech Stack:
Python (Pandas & NumPy): Used in Jupyter Notebooks for initial data exploration and statistical analysis.
PostgreSQL: Utilized for rigorous data cleaning, querying, and structuring the dataset for analysis.
Power BI: Built an interactive dashboard to visualize key metrics like seasonal trends, subscription impacts, and category performance.
Project Highlights:
✅ Data Cleaning: Leveraged PostgreSQL and Pandas to handle missing values and standardize categorical data.
Project Title:
Sales Performance Dashboard Using Power BI
Description Example:
Designed an interactive Power BI dashboard to track sales performance, revenue trends and monthly KPIs. Automated data transformation using Power Query and built dynamic Excel models for reporting accuracy.
Tools Used:
• Microsoft Excel
• Power Query
• Power BI
Clean layout.
Curious — did you design the data model in a star schema, or were the relationships handled directly inside Power BI?
In my experience, long-term maintainability depends more on the model layer than the visuals.
Data Analytics Project | BlinkIT Grocery Sales Analysis
Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈
📊 What I worked on:
Analyzed sales performance across product categories, outlet types, sizes, and locations
Identified top-performing item categories and customer preferences
Studied the impact of outlet size, establishment year, and visibility on sales
Converted raw data into actionable insights and business recommendations
💡 Key Insights:
Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales
Medium-sized outlets outperform others in overall revenue
FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz
)
Feedback and suggestions are always welcome!
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