Data & Beauty Tech

I worked with the L'Oreal Asia Pacific Data Team during my time with the company. I analyzed large data sets related to consumer behavior and preferences and used this information to help drive business decisions. The team used a range of data analysis software and machine learning algorithms to extract insights from the data, and I learned a great deal about these tools and techniques during my time with the team.

I also worked with a diverse and talented group of individuals from various backgrounds and disciplines. The team comprised data analysts and business experts from across the region.

A beauty Tech Mirror can leverage the power of machine learning to analyze the previous data from other people's pictures and provide personalized recommendations and advice to the individual user.

For example, the mirror can be trained on a large dataset of images of different skin types, tones, and textures. This information can be used to provide accurate and personalized skin analysis for the user. The Machine learning algorithm can learn from the data patterns, identify specific skin concerns, and recommend the best skincare products for the user's unique skin type.