For the insurance industry, the potential to understand customers and businesses using new dimensions represented by social and other online data can unleash significant new insights from both customer behavior and risk perspective. These insights can drive insurance
automation, underwriting efficiency, and enhanced customer experience. The objective of this project is to develop and optimize the loss prediction models empowered by those insurtech innovations. This project is a real-life actuarial data science project provided by Carpe Data and COUNTRY Financial. Carpe Data is an Insurtech company that provides insurance companies with next-generation data solutions to gain a more in-depth insight into risks. COUNTRY Financial is a US insurance and financial services company that offers a range of insurance and financial products and services, including auto, home, life, commercial insurance, etc.  We will perform tasks including, but not limited to: 

• Actuarial loss modeling 
• Feature engineering using NLP 
• Unsupervised/Supervised Learning 

Supervisors: Zhiyu (Frank) Quan, Project Manager from Carpe Data, Actuarial manager from COUNTRY Financial
Graduate Supervisor: Changyue Hu