Alonso Matta
As a Senior Data Scientist at IER, Alonso is a pivotal leader in big data and data analytics, steering a team of data analysts to drive transformative insights for clients. With a focus on developing customised data dashboards and advanced methodologies, Alonso empowers clients with real-time analytics that underpin strategic decision-making. Within the events and entertainment sector, his expertise in big data allows clients to achieve precise, actionable solutions.
In his role, Alonso oversees a wide range of data-driven projects, taking on responsibilities from initial data analysis to the creation of sophisticated client dashboards. His approach combines a deep understanding of statistical methods with an innovative mindset, allowing him to tackle complex data sets and uncover trends that shape business outcomes. Leading his team with a hands-on approach, Alonso ensures the highest quality in both analytics and client deliverables, making him an invaluable asset in IER’s data-centric initiatives.
Prior to joining IER, Alonso honed his expertise as a Data Science Consultant where he worked on applied academic research in statistical sciences, contributing to the fields of biostatistics, higher education research, and marketing analytics. His experience includes leading roles in developing real-time decision-making systems, collaborating on federal government and marketing research publications.
Alonso’s passion for data science is fueled by a commitment to unlocking the power of data to inform and transform decision-making. Particularly within the events and entertainment sectors, he finds immense satisfaction in diving into complex datasets, uncovering patterns, and transforming those insights into actionable strategies for IER’s clients.
Alonso holds a Bachelor of Science in Mathematics and Statistics with honors from La Trobe University and a Master’s degree in Statistical Science (by Research) from The University of Melbourne. His academic achievements, paired with his real-world experience, have cemented his reputation as a forward-thinking leader in data science.