Welcome to my GitHub profile! I am a quantitative researcher and soon-to-be PhD student in Computer Science with a deep passion for finance, time series analysis, and machine learning. My journey so far has led me to explore cutting-edge topics at the intersection of finance and data science, and I’m excited to continue sharing my work with the open-source community.
- 🔍 Time Series Analysis & Econometrics: I have worked extensively on time series projects ranging from financial modeling to Bayesian clustering of time series data.
- 📊 Quantitative Finance: My professional background and blog posts focus on exploring volatility, pricing models, and various financial instruments using data-driven techniques.
- 💻 Deep Learning & Research: My upcoming PhD research will focus on applying deep learning to new problems, and I’m always eager to contribute to innovative solutions in this space.
I write a blog where I share insights and tutorials on finance, quantitative research, and machine learning. Check up my latest posts :
- 📈 Estimating Bitcoin Volatility: A deep dive into Bitcoin's volatility patterns using time series models.
- 🤖 Fetching and Storing Binance Data with HDF5: Practical guides on data fetching and management.
If you have any thoughts, questions, or ideas, feel free to open an issue or reach out. I love discussing research, new ideas, and anything related to finance, time series, or AI. Let’s learn and grow together!