Cathal Leahy is an Associate Data Insights Lead at Arup in Ireland with over a decade of experience turning complex engineering and transport datasets into business value through advanced analytics and data-driven strategy. He progressed through technical roles from PhD research on weigh-in-motion and bridge loading to senior data science and team leadership, giving him rare domain depth in transport infrastructure and long-run traffic simulation. Known for translating statistical techniques (including Bayesian methods and extreme value analysis) into practical engineering decisions, he advises on data procurement, quality control and simulation approaches that inform asset management. Comfortable moving between hands-on modelling and strategic client-facing leadership, he combines academic rigour with delivery-focused productisation of insights. An interesting thread through his career is a sustained focus on exploiting new ITS datasets to influence procurement and policy as well as project-level outcomes.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Traffic Load Modelling for Bridges, Doctor of Philosophy - PhD, Traffic Load Modelling for Bridges at University College Dublin
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