Data Analyst with a strong foundation in finance and advanced analytics, currently pursuing a Master of Business Analytics at Monash University. Skilled in Python, SQL, R, and Power BI to build data pipelines, automate workflows, and transform complex datasets into actionable business insights.
End-to-end pipeline scraping Domain.com.au weekly, enriching with ABS demographics and crime data, and training an XGBoost model (RMSE $295K, R² 0.86). Serves predictions via a static dashboard running ONNX inference in the browser — no backend required.
An automated ETL pipeline using Python & GitHub Actions to collect structured financial data. Features a robust MySQL database, dynamic JavaScript dashboards for 21 companies, and a predictive stock forecasting report using XGBoost/Scikit-Learn.
Developed interactive browser games with embedded telemetry to capture real-time user sessions. Built a Python/Flask API backend logging to PostgreSQL. Conducted EDA and applied Random Forest/XGBoost models in R/Quarto for game design optimization.
Professional journey in finance and data analytics.
Academic background and qualifications.
GPA
Introduction to Database, Data Exploration and Visualisation, Diving Deeply into Data Exploration, Introduction to Machine Learning
GPA 3.36
Technical skills & tools I use to deliver data-driven solutions.
Professional qualifications that validate my expertise.
HackerRank
ID: 8f29355bb3eb
May 2026
View CredentialKaggle
Machine Learning
May 2026
View CredentialEnglish Proficiency
Feb 2026
Chartered Financial Analyst
Nov 2023
DATA ANALYST