Hello! I'm Chong Hwa! 👋

I'm a penultimate Quantitative Finance student at the National University of Singapore (NUS) with a minor in Economics, passionate about breaking into quantitative trading. My academic foundation includes Probability & Statistics, Calculus, Linear Algebra, and Programming Methodology. I am actively seeking opportunities to apply my analytical skills and contribute to dynamic trading environments. Feel free to connect!

Welcome! 👋

⚙️ Tech Stack

✨ Core Languages & Frameworks

• Python 🐍
• Excel & VBA 📊
• HTML 🌐

📊 Data Analysis & Visualization

• Excel (Quantitative Analysis, Business Cost Insights, Data Cleaning, Structuring & Benchmarking) 📈
• Python Charts Generation (matplotlib, pandas)
• Google Trends 📈

🧠 AI & Machine Learning

• Google Bard's Gemini Pro 🤖
• OpenAI's ChatGPT 💬

🌐 Web Development & APIs

• Wix Website Builder 🏗️
• HTML (for in-app push notifications) 📄

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🚀 Projects

Here are some projects I've been working on:

• GARCH Model Backtesting

  • A project focused on implementing and backtesting GARCH models for volatility forecasting, crucial for risk management and trading strategies.
  • Link to GARCH Project Repository

• Google Review Summariser

  • Streamline decision making when visiting a new place by compiling and returning a summary of the reviews of the place.
  • Link to Review Summariser

• Sharpe Ratio Implementation

  • Developed an Excel implementation to calculate and analyze the Sharpe Ratio for various portfolios, assessing risk-adjusted returns.
  • (Not updated yet)