🎓 MSc Finance fresh grad from the National University of Singapore (NUS)
💡 Passionate about quantitative finance, machine learning, and systematic investing
📍 Currently based in Belgium/Colorado
I enjoy working at the intersection of markets and data science.
Examples of previous work:
- Quantitative strategy design — regime detection, volatility targeting, and factor research.
- Data manipulation — file digitization, trade analytics, portfolio tracking and database manipulation.
- Financial tools — building modular, reproducible Python projects for investment analysis.
Languages: Mainly Python and SQL, but I'm also familiar with a broader array of technologies.
Main Libraries: NumPy, Pandas, Polars, Matplotlib, SciPy.
Data APIs: Refinitiv/LSEG, FRED, Yahoo Finance, Snowflake SQL.
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Building my own financial database, which will auto-fetch data daily. I plan on using this project as a foundation towards other projects!
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Learning Rust! It's an exciting journey..
- Bloomberg Market Concepts
- LSEG Finance Essentials
Systematic trading • Behavioral finance • Data architecture • Analytics