Introduction to Machine Learning: Predictive Modeling in Insurance for Actuaries and their Stakeholders
In this presentation we’ll explore fundamental machine learning concepts tailored for actuaries. Topics range from machine learning theory, common algorithms such as GLMs and GBMs, and the basics of predictive modeling, equipping you with the knowledge to enhance your actuarial practices. In addition to junior modelers or modeling curious actuaries, this presentation also benefits stakeholders who are not building models but want to have a better understanding of what goes into them.
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Max Martinelli joined Akur8 as an Actuarial Data Scientist in 2023. He works with clients to ensure they get the most out of Akur8's transparent machine learning software. This ranges from actuarial modeling advice to collaborating on how an insurer can get the most out of their data. Before this, Max worked in various actuarial and data science roles at Allstate for nearly 8 years. He has worked on auto, property and specialty lines with a broad scope of projects. These ranged from traditional actuarial indications to price optimization to cutting-edge high-fidelity telematics models. His work spanned from production grade models to rapid research models to further Allstate's pricing sophistication with extensive use of GLMs, GLMnets, GBMs and Bayesian GLMs.
Parhaam Behnoudnia is an Actuarial Data Scientist at Akur8, specializing in helping clients leverage advanced machine learning techniques to gain insights into their data and providing them with the best practices with Akur8's software. Prior to joining Akur8, Parhaam worked in the auto insurance sector focusing on building statistical models specializing in price optimization.
