Build notes · Goh Kun Ming
Policy Intelligence
Data · Research platform
Mar 2025 – Present
Project overview
Historical data, connected for careful exploration.
A reproducible platform for historical security and public-policy research, combining data pipelines, machine learning, geospatial analysis, graph views and guarded retrieval. A FastAPI backend and React dashboard support aggregate exploration. The project reports associations rather than causal policy effects, and does not claim model quality without the licensed data and pinned results.
Inside this build
- Built a 1996–2021 country-year panel connecting incident outcomes with governance indicators.
- Implemented adaptive casualty-severity labels with clustering and deterministic fallback rules.
- Configured Logistic Regression, Random Forest and Extra Trees within shared preprocessing and experiment tracking.
- Authored 12 research notebooks covering data quality, forecasting, models, graphs, retrieval and monitoring.
- Added bounded API responses and safeguards that restrict use to historical aggregate research.