I'm a student exploring quantitative research, mathematical modeling, computational methods, and machine learning. I enjoy building projects that combine mathematics, finance, and software engineering.
- Quantitative finance
- Mathematical modeling
- Machine learning
- Stochastic processes
- Numerical methods
- Computational mathematics
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Oil Feature Importance Research
- Investigating machine learning-based feature importance methods for analyzing factors influencing oil price movements through data-driven modeling.
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Black-Scholes Model
- Implemented the Black-Scholes option pricing model to explore derivatives pricing, volatility, and mathematical finance concepts.
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Ramanujan-Sato Series
- Developed a C++ implementation of the Ramanujan-Sato infinite series for high-precision Ο computation, exploring convergence and numerical methods.
- Python
- C++
- Tensorflow
- NumPy
- Pandas
- Scikit-learn
- Git
- Oil Feature Importance Research
- Ramanujan-Sato Series
- Black-Scholes Model