The growing popularity of natural ingredient-based cosmetics, driven by consumer awareness of health and environmental benefits, has propelled a leading Toronto manufacturer to success in creating products for various brands and launching its own natural ingredient-focused line. This project aims to develop a data-driven model that recommends suitable natural ingredients for new cosmetic products based on customer ratings and reviews from Amazon. By utilizing the vast user-generated data on Amazon, the model will help the sponsor company understand consumer preferences, innovate highly desired products, and ultimately boost sales and customer satisfaction.

Utilizing Tableau’s robust visualization capabilities, a comprehensive Key Performance Indicator (KPI) dashboard was developed for Northwind Traders. Northwind Traders is an international import and export company, specializing in providing high-quality food products to a broad spectrum of businesses across the globe. The objective of the dashboard was to offer a rapid understanding of the company’s performance in crucial areas, such as sales trends, product performance, principal clients, and shipping costs. Designed to accommodate and evolve with the influx of new data, the dashboard promises dynamic and timely insights for the executive team.

Kickstarter is a popular crowdfunding platform that has enabled many individuals and organizations to bring their creative projects to life. Understanding the success factors of Kickstarter projects is crucial for both creators and investors, as it can help them make better decisions and increase their chances of success. Our study takes a step towards achieving this goal by exploring the effectiveness of different models in predicting the outcome of Kickstarter projects.