Data & Analytics Manager with experience across higher education, banking, and enterprise platforms. I build reliable analytics products end-to-end — from modelling and ingestion to governed reporting, automation, and delivery.
I work at the intersection of data engineering and analytics delivery, turning business questions into dependable datasets, models, and dashboards. I’m most effective when the work spans multiple teams — aligning requirements, enforcing quality and governance, and shipping outcomes that stakeholders can trust.
Collaborated with teams across Japan, Korea and India to design and develop a health application tracking historic records in a global SAP hackathon. Received Crowd Favourite recognition from SAP’s Chief People & Operating Officer.
Designed an end-to-end GCP workflow to predict loan default rates, using Cloud Functions for preprocessing, Cloud Storage for staging, and Vertex AI for batch prediction and deployment.
Leveraged publicly available sensor data to predict high-risk bushfire regions. Designed an end-to-end data architecture using Kafka and Spark, visualised results in Matplotlib, and stored data in MongoDB.
Produced a stock analysis and prediction using OLS regression and statistical testing for autocorrelation and heteroskedasticity.