Welcome to my GitHub! I'm a Finance graduate and a curious beginner in the world of Quantitative Finance, where I combine financial knowledge with data, algorithms, and code. I’m learning to build insightful, data-driven financial models that help make sense of market behavior.
Fun fact: I got into quant finance because I love patterns — both in numbers and in life.
- Quant Strategies: SMA, CAPM, Black-Scholes
- Financial Modeling and Valuation
- Python, R, MySQL for Data Analysis
- Machine Learning & Statistics for financial insights
| Area | Tools / Languages |
|---|---|
| Programming | Python, R |
| Databases | MySQL |
| Quant Models | CAPM, Black-Scholes, SMA |
| ML & Stats | pandas, scikit-learn, statsmodels |
| Visualization | matplotlib, seaborn, ggplot2 |
| Tools | Git, Jupyter Notebook |
I love connecting financial logic with statistical models to answer big "What if?" questions in markets.
(Yes, that’s me when my code runs without error.)
- SMA Strategy in Quant Finance
View on GitHub
A beginner-friendly moving average crossover backtest in Python.
🔁 This profile is evolving — just like markets.