Insurance Data Analyst · Canberra, Australia
I build predictive models
for insurance & risk —
from the inside.
Currently a Claims Advisor at Suncorp. Most analysts study insurance from the outside. I understand how claims are lodged, reserves are set, and regulatory frameworks shape every data point in the pipeline.
Predicting Customer Churn: Selecting the Optimal ML Model
A comprehensive comparison of 5 ML algorithms to classify bank customer churn. Gradient Boosting (GBM) was identified as the optimal model, maximising the 'catch rate' for at-risk customers.
Data Warehouse and Analytics Project
End-to-end SQL Server data warehouse & analytics solution showcasing robust ETL pipelines data modeling, and interactive dashboards, demonstrating skills in data engineering and business intelligence.
Predictive Claims Liability Model: Insurance Risk Oversight
Predictive dashboard leveraging a Tweedie Regressor on 670k+ policies to forecast insurance liability, optimising reserves and risk oversight for complex portfolios.
Macroeconomic Impact on General Insurance Claims
Built an analytics pipeline to test whether Australian macro-economic indicators — wage growth, construction cost inflation, and interest rate cycles — can predict general insurance claim severity before the insurer's loss account catches up. End-to-end: ABS + RBA + APRA ingestion, lead-lag correlation analysis, regularised regression, and a four-page Streamlit dashboard with live stress-test scenario controls.
Open to opportunities — Insurance Data Analyst & BI Analyst roles in insurance and financial services