This comprehensive dataset is a goldmine for data scientists, analysts, and researchers interested in exploring a wide range of topics within the realm of online retail. It encompasses a rich collection of customer behavior and characteristics, making it a versatile resource for tackling multiple aspects of data analysis and prediction.

• Updated Sep 18, 2023
• Jupyter Notebook

This project employs NLTK, Prowebscraper, and Python for sentiment analysis on online product reviews. Through web scraping, EDA, and NLP, it evaluates user satisfaction by comparing actual ratings and sentiment scores

• Updated Sep 22, 2024
• Jupyter Notebook

Comprehensive product analysis and recommendation system with JSON data processing, visual analytics, and machine learning.

• Updated Sep 22, 2025
• Python

A Power BI project analyzing sales, profit, customers, regions, products, and shipping performance of a retail superstore. The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.

• Updated Sep 6, 2025

🌍AI-powered full-stack web app that analyzes product sustainability, reveals environmental impact, and guides eco-friendly purchase decisions in real time.

• Updated Dec 17, 2025
• TypeScript

Walmart Sales analysis, data preparation using SQL and Analyzing impact of products and customers on sales.

• Updated Feb 1, 2025

Analyzing Amazon electronics sales to uncover top-performing products using Python and Excel.

• Updated Jul 31, 2025
• Jupyter Notebook

Bridge Health Technology - Intelligent Bridge Inspection Service Provider (Innovative Entrepreneurship Program - Product Leader)

• Updated Oct 24, 2023

Eco-ALT is an AI-powered backend for evaluating the eco-friendliness of products. It provides multi-dimensional eco-scores, suggests greener alternatives, and integrates with Google Gemini AI for advanced analysis. Built with FastAPI, it’s ready for web integration and future expansion.

• Updated Sep 7, 2025
• Python

Product reliability analysis API based on publicly available signals.

• Updated Jan 28, 2026

These dashboards provide insights across diverse domains, including cryptocurrency sales, workforce challenges, disease impact analysis, and retail trends. Leveraging tools like Power BI and Excel, they offer actionable insights for decision-making.

• Updated Jun 29, 2023

A collection of real-world SQL projects focused on business insights, data analysis, and advanced querying using MySQL.

• Updated Dec 15, 2025

A Next.js and Python-based ecommerce web crawler, scraper and data-analyst platform that transforms scattered product data into clear market insights.

• Updated Sep 28, 2025
• TypeScript

Early warning SaaS churn prevention system using behavioral drift detection.

• Updated Dec 17, 2025
• Python

Interactive Power BI dashboard analysing sales performance, customer demographics, and product profitability using the AdventureWorks dataset.

• Updated Dec 21, 2025

The ICDE-BuyAdvisor website is a user-friendly solution to help the buyers decide whether to buy products by evaluating the product reviews for them using web scraping and machine learning techniques. Once the evaluation is completed, the product analysis is shared with the buyer.

• Updated Sep 15, 2024
• Python

Google merch store sales analysis

• Updated Jan 26, 2025

Tableau dashboard analyzing Bellabeat Leaf smart device usage and wellness trends, like feature adoption, time-based activity and sleep patterns, user wellness profiles, and correlation insights

• Updated Jul 9, 2025
• R

Customer segmentation, sales trends, and supplier insights using SQLite + Power BI based on the Northwind dataset.

• Updated Jul 31, 2025

Comprehensive ASUS tech products analysis: market dynamics, product performance & pricing sentiment with Power BI dashboards and 50+ SQL queries

• Updated Feb 6, 2026