Insurance Data Analyst based in Canberra, Australia.

I build predictive models and analytical pipelines for insurance and financial services — and I work inside the industry I model. Currently a Claims Advisor at Suncorp Group, I bring frontline domain knowledge of claims operations, reserve setting, and regulatory compliance directly into my data work.

Languages & Libraries

BI & Visualisation

Data Engineering

Can Australian macroeconomic indicators (CPI, WPI, PPI, RBA cash rate) predict insurance claim severity with a 2–6 quarter lead time?

Built a full analytics pipeline ingesting ABS, RBA, and APRA data → OLS/Ridge/Lasso regression modelling → four-page Streamlit dashboard with lag correlation heatmaps and a stagflation stress test scenario.

Python Scikit-learn Streamlit Plotly SQL

Forecasting Pure Premium across 677,991 motor insurance policies.

Implemented a Tweedie Regressor (compound Poisson-Gamma) to model zero-inflated insurance claims data. Deployed as a live Streamlit dashboard with a full Scikit-learn pipeline including exposure weighting and OHE.

Python Tweedie Regression Scikit-learn Streamlit Pandas

End-to-end Medallion Architecture data warehouse in SQL Server.

Bronze → Silver → Gold ETL pipeline, star schema design, analytics-ready Gold layer views, full data catalog, naming conventions, and SQL validation tests.

T-SQL SQL Server Medallion Architecture ETL Draw.io

Selecting the optimal classifier across five ML algorithms.

Evaluated Logistic Regression, SVM, KNN, Random Forest, and Gradient Boosting on 10,000 bank customer records. Selected GBM on recall (catch rate) — the correct metric for imbalanced churn datasets.

Python Scikit-learn GBM Imbalanced Classification

• 🟠 Databricks Fundamentals — Databricks (2026)
• 🔵 IBM Data Analyst Professional Certificate — IBM / Coursera (2025)
• 🟢 Deloitte Australia Data Analytics Job Simulation — Deloitte (2025)