Deborah Yin
FCAS
Actuary
Irvine, CA, US
Deborah Yin is an actuary with the Property and Casualty Practice in Milliman’s Orange County office, focusing on InsurTech solutions and advanced ratemaking techniques. She joined the firm in 2021.
Experience
Deborah’s areas of expertise include:
- Developing predictive models, including generalized linear models and advanced machine learning techniques
- Performing personal and commercial lines ratemaking, product development, and filing support
- Developing rates and filing support for emerging markets
- Designing and automating insurance processes to improve efficiency and profitability
- Developing advanced business intelligence reports using data visualization
Prior to joining Milliman, Deborah was a senior actuarial analyst at Intact Financial Corporation in Canada, where she specialized in predictive modeling for personal auto. She was responsible for developing cutting edge auto pricing models using different machine learning techniques. She also led efforts to develop retention models and buying ratio models.
Professional Designations
- Fellow, Casualty Actuarial Society
Education
- MS, Computer Science with Specialization in Machine Learning - Georgia Tech
- B.Math, Actuarial Science – University of Waterloo
- B.Math, Statistics – University of Waterloo
- B.Math, Computational Mathematics – University of Waterloo
Publications
Read their latest work
Article
Important concepts and tools for building customized private GPTs
16 December 2024 - by Deborah Yin, Annie Shen, Nickolas Alvarado
Generative pre-trained transformer chatbots: We explore some important concepts and tools to build private platforms.
Article
构建私域GPT的重要概念和考量要素
16 December 2024 - by Deborah Yin, Annie Shen, Nickolas Alvarado
目前,对于希望利用人工智能提高运营效率和推动创新的企业来说,如何个性化地和安全地应用GPT已成为一个重要课题。
Article
Exploring large language models: A guide for insurance professionals
03 October 2023 - by Nickolas Alvarado, Deborah Yin, Thomas M. Prince, Erin McFaul
In this introduction to large language models (LLMs) for insurance professionals, we discuss how these components of artificial intelligence are trained to produce accurate results.