Talex Diede

Since joining Milliman, Talex has primarily worked on predictive modeling, with a focus on policyholder behavior. She specializes in data analysis and data manipulation in addition to statistical modeling. She has experience with traditional statistical model building methods as well as machine learning methods. Recent projects include investigating uses of big data to improve predictions of policyholder behavior.

Talex has strong technical skills, which make her well suited to predictive modeling projects and many others. She also gives a number of industry presentations on topics related to predictive modeling. Other projects she has worked on include model validation, product design, and assumption review.