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.

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

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.

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

In this project, I have used Python & Tableau to analyse, visualize and answer business questions on Product Sales and Customer Behaviour Analysis

This repository showcases the outcomes of an Exploratory Data Analysis (EDA), including visualisation, conducted on the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB and PySpark.

Dataset Northwind Mini Project Data Engineering

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