Viola Cao

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Deep Learning for Property Visual Features & Extraction Tools

Tricks and traps on how Machine learning, AI and Computer Vision are utilized to analyze multiple image types in order to build a database of all buildings in the globe and extract property features to enrich the inputs for risk assessment and pricing models.

Viola Cao, a Data Scientist at Zurich who graduated from the NYU Data Science Master's program with a focus on Deep/Machine learning and Big Data. Viola previously worked at Stanford University and the United Nations where she led the "Global Terrorism Analysis” project. She is also an accomplished badminton player and swimmer.

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