Braedan is a data scientist with a passion for turning complex datasets into actionable insights. He brings a multidisciplinary background in actuarial science, finance and machine learning to his role at FaBA, where he supports innovation through data-driven decision-making.
Having completed his PhD in Data Analytics, he enjoys working with industry partners to make a real difference to both emerging and established companies.
His technical toolkit includes R, Python, Power BI, SQL and Shiny, and he is experienced in building dashboards, modelling unstructured data and applying deep learning techniques.
He is driven by curiosity and a commitment to using data for social and scientific impact.
Key capabilities
Data analysis, statistical modelling, and predictive analytics
Machine learning
Skills in R, Python, SQL, PowerBi and Tableau
Experience working with industry partners
Worked across projects in areas as varied as sports performance, accounting, tourism, water network leak detection and economics
Problem solving and adaptability