About

I am a fresh graduate with a Bachelor of Applied Mathematics degree, focused on quantitative finance. My coursework and thesis centered on building mathematical models for financial markets, and my main interest going forward is working as an investment analyst.

For my thesis, I built a Hidden Markov Model system for detecting market regimes in cryptocurrency price data, then used it as the basis for a systematic trading strategy. The project covered model selection with information criteria such as AIC and BIC, a rolling window setup to keep the model from seeing future data, and backtesting against a buy and hold benchmark.

Beyond the technical side, I am drawn to the work of an investment analyst: reading company fundamentals, tracking macro conditions, and forming a view on where value sits in a market. I want to combine the discipline of quantitative methods with the judgment that fundamental and macro analysis require.

I am early in my career and treat that as something to build on. I am still developing my research habits, but I try to be clear about what a model can and cannot tell you, and I would rather present an uncertain but well reasoned view than a confident one that skips the caveats.