Sam Castillo

Sam Castillo

Sam is the CEO/Founder at AI Actuary.

He has worked in predictive modeling for three years. At Milliman Intelliscript, he developed machine learning-based risk scores for health insurance. At Willis Towers Watson, he did modeling for customer loyalty programs such as airlines and hotel chains. These clients had "big data" on the scale of hundreds of terabytes. All of the "free airline miles" from customers all over the world added up to liabilities in the billions of dollars.

At AI Actuary, our mission is to help actuaries to use AI tools and methods to grow to their careers.

AI and data science tools, documentation, and training resources have advanced rapidly over the last few years, but there is still a high demand for these training materials within actuarial science.  The way that data scientists learned at AI and how I learned at first was not by reading a book but by doing lots and lots of examples.  This is a different style than the usual actuarial study method of buying a single study manual and then reading it from front-to-back.  

Industry Research

Read my first place submission to the SOA's Predictive Analytics Contest

“The Predictive Analytics and Futurism and Technology Sections invite you to participate in the inaugural “2019 Predictive Modeling, Innovation and Industry Contest.” Analytics are the future of insurance and this contest will recognize the best and brightest who can apply their skills to design an analytical solution that solves an insurance problem, submitted in a Jupyter Notebook.”

Our Team

Ryan LeBon

Ryan LeBon

Devops Engineer

Willard Moore

Willard Moore

Analytics Engineer / Web Developer

Sourish Bose

Sourish Bose

Learning Management Integration

Kir Ross

Kir Ross

Editor in Photo & Video Production