Mrs. Blessing Nnenna Azubuike  | Remote Sensing and Dairy Science | Research Excellence Award

University of Sydney | Australia

Blessing Nnenna Azubuike is a data scientist and data engineer specialising in environmental and institutional analytics, with a focus on applying sensor- and data-analytics to sustainable agricultural systems. She completed her doctoral studies in sensor and data analytics at the School of Life and Environmental Sciences, University of Sydney, working on remote sensing, machine learning and optimisation for grazing and feed-management. Her training in agriculture (with honours in Agricultural Extension and Rural Development) provides a strong foundation for bridging field-based knowledge and computational analytics. She has designed and implemented production-grade ETL pipelines, reproducible machine-learning workflows, and stakeholder-facing analytic dashboards — utilising Python, R, SQL, cloud platforms and Microsoft/Azure data tools. In her role as data scientist she developed and optimised scalable data pipelines for multi-source environmental and farm data, built predictive and deep-learning models for pasture and dairy system performance, and translated complex data into actionable insights for farm managers and industry stakeholders. Her work has contributed to improved pasture-cover estimation using satellite data, and to data-driven feed optimization for dairy herds. She also mentors junior analysts, embeds data governance into analytic systems, and fosters cross-disciplinary collaboration. Her h-index, total document count and citation count are currently being compiled.