Clayton, Victoria, Australia
I am driven by the intersection of Quantitative Finance, Econometrics, and Data Science, with a passion for uncovering market signals through rigorous modeling and automation. Currently a Marketing Data Analyst Intern at dtcpay, I bridge the gap between business logic and technical execution. I specialize in building automated workflows (using Google Apps Script & APIs) and deriving actionable insights from complex datasets using Python, R. My Tech Stack: Analysis & Modeling: Python, R, Econometrics, Financial Machine Learning, NLP. Data Engineering: SQL, API Automation, GA4/GTM, Google Apps Script. Interests: Web3, On-chain Analytics (Dune), and Algorithmic Trading. I am a Master of Advanced Finance & Applied Econometrics student at Monash University (Graduating 2026). I am actively looking for opportunities in Quantitative Analysis, Risk Management, or Data Science within the Fintech and Web3 space.
Focusing on marketing automation, data engineering, and analytics infrastructure. Key Contributions: AI Automation: Engineered an automated reporting pipeline using Gemini API, GA4, and Google Sheets. Implemented CI/CD workflows via GitHub Actions to deliver AI-generated insights. Data Engineering: Built end-to-end data pipelines integrating 3rd-party APIs (Mobile Stores, Social) into real-time performance dashboards. Web Analytics: Owned the GTM container with full publishing rights. Implemented advanced tracking (DOM monitoring, custom scripts) to visualize user registration funnels. AI-enhanced Dev: Developed interactive web apps with AI for global corporate events, boosting engagement across 4 regional offices. Tech Stack: Python, Google Apps Script, SQL, GA4, GTM, GitHub Actions.