I've built forecasting, statistical, and spatial models for BMKG, Monash University research teams, and government stakeholders. At BMKG, my time-series forecasting model was adopted into Indonesia's national early-warning and decision-support systems.
I bring six years of experience analysing large operational datasets, including clustering nationwide data into 699 operational forecast zones, producing decision-ready reports and dashboards, and maintaining rigorous data extraction, validation, and quality assurance.
At ARC Centre of Excellence for 21st Century Weather, I engineered a reproducible high-performance computing pipeline for approximately 1.2 TB of time-series data and developed anomaly-detection workflows. At SoDa Labs, I built a Python and GeoPandas pipeline that integrated multiple datasets into a harmonised 30-year regional time series.
I'm completing a Master of Data Science at Monash University and work across Python, SQL, R, machine learning, BI reporting, and geospatial analysis. I enjoy building reusable data products, from churn models and interactive dashboards to PostgreSQL/PostGIS community-data platforms.
