Amazon Foundation Product Review Machine Learning

Outcome

This project aims to analyze a large Amazon dataset to find the best approach to design and launch a new foundation product.

I designed this analytics project to find consumers’ most important topics and preferences for foundation products. The projects utilized descriptive analytics, Natural Language Processing, and the LDA model to determine product features and pricing to launch the product competitively on the Amazon platform. The analytics result leads to a proposal for a product line with differentiated products that cater to different customer groups.