Josh specialises in data analytics and predictive modelling across a variety of industries, including insurance and aviation, and customer loyalty programs.
He has built risk and demand models for general insurance pricing, and modelled customer engagement for the Qantas Frequent Flyer loyalty scheme. This included developing a model of customer lifetime value and estimating future points expiry. He has also built the financial model underpinning the business case for a Qantas fleet investment decision.
Josh manages the internal development of Taylor Fry’s predictive modelling software, and has helped develop and run training courses on predictive modelling and machine learning.Josh’s Qualifications
- Fellow of the Institute of Actuaries of Australia
- Chartered Enterprise Risk Actuary
- Bachelor of Social Sciences Honours (Actuarial Studies and Economics), ANU
Areas of Expertise
Josh Jaroudy’s Areas of Expertise
Articles by Josh JaroudyMore articles
We need to talk about interpretable machine learning and embracing robust experimentation
Josh braves the wilds of Alaska to hear the greatest minds in data speak at the 25th KDD ConferenceRead Article