Webinar 
Virtual
June 26, 2025 - 3:00 PM SGT

Transparent ML for loss cost models and impact analysis in insurance

Advanced machine learning techniques are reshaping how insurers understand and manage their business, even in highly regulated markets where pricing flexibility is limited. From fully tariffed markets to those undergoing detariffication, there are increasing opportunities to extract actionable insights while staying within regulatory and governance boundaries. This webinar will explore how insurers can leverage transparent modeling techniques to better assess portfolio performance, with a special focus on impact analysis and customer behavior. We’ll demonstrate how customer behavior analysis — or alternative analytical approaches when data is unavailable — can significantly enhance decision-making

Featured speaker:

Mónica Carvajal-Pinto, Head of International Actuarial Data Science at Akur8

Parhaam Behnoudnia, Actuarial Data Scientist at Akur8

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Transparent ML for loss cost models and impact analysis in insurance

Advanced machine learning techniques are reshaping how insurers understand and manage their business, even in highly regulated markets where pricing flexibility is limited. From fully tariffed markets to those undergoing detariffication, there are increasing opportunities to extract actionable insights while staying within regulatory and governance boundaries. This webinar will explore how insurers can leverage transparent modeling techniques to better assess portfolio performance, with a special focus on impact analysis and customer behavior. We’ll demonstrate how customer behavior analysis — or alternative analytical approaches when data is unavailable — can significantly enhance decision-making

Featured speaker(s):
Mónica Carvajal-Pinto, Head of International Actuarial Data Science, Akur8
Parhaam Behnoudnia, Actuarial Data Scientist, Akur8

Learn more about the speakers

Mónica Carvajal-Pinto, Head of International Actuarial Data Science, working at Akur8
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Mónica Carvajal-Pinto

Head of International Actuarial Data Science at Akur8

As Head of International Actuarial Data Science at Akur8, Mónica Carvajal-Pinto brings her expertise to support clients through demos, pilots, onboarding, and pricing activities. She holds a PhD in Probability and an MSc in Actuarial Science from the University of Manchester, providing a strong foundation in statistical modeling and risk analysis essential to her role.

Parhaam Behnoudnia, Actuarial Data Scientist, Akur8
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Parhaam Behnoudnia

Actuarial Data Scientist at Akur8

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.