Master of Business Analytics at Monash University and CFA Level 1. I combine deep finance expertise with hands-on data modelling and analyzing to automate workflows and drive actionable business intelligence.
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.
English Language Proficiency
Feb 2026
Chartered Financial Analyst
Nov 2023
DATA ANALYST