Dan has more than 20 years’ actuarial experience in the government social sector, banking risk management and superannuation. He helps clients connect the insights from their data to practical operational improvements and policy decision-making.
Having worked within government, including frontline social services experience, Dan’s advice is grounded in first-hand knowledge. This means the analytical and modelling projects he works on are shaped by his deep understanding of what matters to the people accessing and delivering social services. Dan says:
Data doesn’t work alone – it must have context. So whether you’re a government department delivering social services or a corporate selling products, your customers’ needs are core to the design of your analytical and modelling projects.
Dan has a keen interest in the developing use of artificial intelligence and is a proactive industry advocate for the safe and ethical use of algorithms. In this role, he provides advice to public and private organisations on how best to use algorithms to support effective and efficient decision-making.
