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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
カスタマイズされた専用GPTを構築するための重要な概念とツール
16 December 2024 - by Deborah Yin, Annie Shen, Nickolas Alvarado
GPT(事前学習させた生成トランスフォーマー)チャットボット:専用プラットフォームを構築するための重要な概念とツールについて探ります。
Article
大規模言語モデルの調査:保険プロフェッショナルのためのガイド
03 October 2023 - by Nickolas Alvarado, Deborah Yin, Thomas M. Prince, Erin McFaul
保険プロフェッショナルのためのこの大規模言語モデル(LLM)入門編では、人工知能のこれらの要素が、正確な結果を生成するためにどのように学習しているかについて論じます。
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.