William has extensive experience in data analysis, data architecture, programming, and visualsation, having worked with a range of large private and public sector clients across Australia and Europe. With a background in consulting within one of the Big Four firms, Ernst & Young, William has applied problem-solving skills to interpret complex datasets and present insights to senior stakeholders. His data analysis skills are supported by proficiency in tools like SQL, Python, and R, which he has used to enhance tax compliance efficiency, streamline data pipelines, and reduce manual analysis efforts.

William’s expertise includes quantitative analysis of supply chain data, data visualisation with Power BI, and utilising cloud services like Azure to manage and analyse data. In his work with government clients, he has been involved in large-scale integrations (e.g., SAP S/4HANA and ServiceNow), which significantly improved operational efficiency. Additionally, he’s automated workflows and optimised business processes, achieving notable operational improvements. This work is underpinned by William’s solid programming foundation in SQL, Python, and R, along with database management experience using SQL Server and MongoDB.

Through this experience, William has proven his capability in data-driven decision-making, stakeholder communication, and achieving measurable performance improvements.