Description: Brief article on my SOA preliminary exam taking process. Includes specific steps taken on a daily basis to earn a passing mark for SOA Exams P, C, FM, and IFM.

Description: Article discusses how to set your goals by asking 2 questions 1What do I want? and 2 What is important to me? These questions will help you to set your goals and make these goals more achievable.

Description: The author provides an overview of terms that have gained favor in sociology, physics, engineering and anthropology that should be of interest to actuaries.

Description: Article describing content and key takeaways from experience completing the SOA PA Certificate

Description: A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, calculations, and outputs. Howe will actuaries handle these challenge?

Description: This article explores the challenges of writing exams during the COVID-19 pandemic and lessons learned.

Description: Overview about the information covered in the Predictive Analytics Certificate and how that is useful for actuaries.

Description: Python is the leading programming language for data science. Python programming is one skill that actuaries should acquire. It facilitates analytic work, and the available visualization tools help to communicate ideas. In this article, I use a traditional actuarial problem, mortality modeling, as an example.

Description: Actuaries pride themselves on innovation and advancements; but no professional field has pushed to set the bar higher than medical Radiology. Over the course of the last few decades, medicine has begun to rely more on artificial intelligence to aid in the process of patient care; and the results have been outstanding! This article looks to show how high the bar has been set, how it will impact the current state of the world of the actuary and the future impacts

Description: This article focuses on the recent surge of digital medicine data being seen in the healthcare industry. While an increase in data can generally be perceived as good, it is important to remember that current privacy practices need to be maintained, if not strengthened, to continually protect healthcare members. The COVID-19 pandemic helped fuel digital medicine data, but it also created new avenues for privacy to potentially be compromised (i.e. healthcare employees using personal devices while working from home). Digital medicine data is a very powerful asset, but it is also a massive responsibility. If mishandled, this data can cause more harm than good.