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Quantitative Finance Engineer | Data Scientist
π I'm currently exploring New oppurtunities in data roles and exciting projects
π§ Developing AI-powered risk assessment tools and market forecasting models
π± Currently working As a Data Scientist @ Naukr.AI and building E2E CICD pipelines for Retail, Media, Banking use cases
πΉ Specializing in algorithmic trading, derivatives pricing, and portfolio optimization using ML/AI
π₯ Passionate about bridging engineering disciplines with quantitative finance and deep diving into every data I put my hands on
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,...
Β
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