The aim of the project was to determine machine learning could be used to quickly deliver novel skin health insights that can be used to fuel new product and technology development.  This study aimed to determine if a machine learning could be used to identify novel skin health biomarkers that could be used in product development.  This project included aggregation of multiple studies, applying machine learning to identify the variables that were most predictive of skin health, and making completing visualizations to communicate the information. The analysis showed two potential skin health biomarkers that could be used for technology and product development.