- π I'm currently exploring Quantitative Trading Strategies and Advanced ML Models for Financial Markets
- π§ Developing AI-powered risk assessment tools and market forecasting models
- π± Currently researching LLMs for financial text analysis, GANs for synthetic market data
- πΉ Specializing in algorithmic trading, derivatives pricing, and portfolio optimization using ML/AI
- π₯ Passionate about bridging engineering disciplines with quantitative finance
- π« Reach me at: krish.bagga10@gmail.com
- Quantitative Finance: Risk modeling, derivatives pricing, time series analysis, stochastic calculus, BSM, Brownian Motion, CDS, CAPM, Risk neutral valuation, Ito's lemma, Probability & Statistics
- Machine Learning: Deep learning, reinforcement learning for trading, NLP for financial sentiment, Linear regression, logistic regression,
- Programming: Python, C++, R, Julia for financial computation
- Data Engineering: Financial data pipelines, market data processing at scale
- Tools & Libraries: PyTorch, TensorFlow, pandas, numpy, scikit-learn, QuantLib, matplotlib,...