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.

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

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

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.

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

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

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.

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

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

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.

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

Google merch store sales analysis

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.

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

A MERN-based platform for intelligent product analysis and price comparison with real-time web scraping.

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

Group Project for Data Science for Business Project (SMU Master of IT in Business)

These are the interactive dashboards and reports to analyze sales, customer behavior, and performance metrics.

This project involves a comprehensive analysis of the Frictional Company dataset. By writing and executing targeted SQL queries, I extracted valuable business data, to uncover key trends and patterns. The final output provides actionable recommendations and strategic business insights to drive informed decision-making.

Target product reviews data extractor