Exploring Customer Shopping Behavior: A Data Analytics Project

Exploring Customer Shopping Behavior: A Data Analytics ProjectExploring Customer Shopping Behavior: A Data Analytics Project

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Sarbjot Singh

• Feb 23

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.

Data Science Data Visualization Data Analysis pandas Jupyter Microsoft Power BI

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Sarbjot Singh

• Feb 23

Data Science Data Visualization Data Analysis pandas Jupyter Microsoft Power BI

Ullah Atta

• Feb 23

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

Data Visualization Data Analysis Microsoft Excel Microsoft Power BI

Geethasree Naguboina

pro

• 1d

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.

Sarbjot Singh

• Feb 23

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

)

Data Visualization Data Analysis pandas Jupyter Microsoft Power BI

Marius Mollard

• Feb 24

Hey ! :) I built D8A Academy, a plateform to help aspiring data analyst practice their skills, build their portfolio and find a job. I've been working on this project since 6 months and developed the whole web-app with bubble.

The app allow the users to: - Get the perfect roadmap to learn Data analysis - Do real-life data projects and get corrected by senior data analysts - Create an online portfolio in less than 5 min - Get shareable learning ressources from the community - Get their resume review by professionals. We have an average of 8 paying students/month since the launch in November and I am still working on making the app better.