suryansh

I'm Suryansh Garg, an undergraduate at IIT Indore with a strong passion for quantitative finance, algorithmic trading, and data-driven strategy development. As a Research Consultant at WorldQuant and the President of the CFA Club at IIT Indore, I actively explore the intersection of financial theory and computational models.

I’ve achieved notable results in competitive environments, including ranking in the top 1% globally in the International Quant Championship. My experience spans designing alpha signals, implementing portfolio optimization methods, and applying machine learning models for predictive analytics. Notably, my strategies achieved over 9,000% returns on ETH and BTC at the Inter IIT Tech Meet 13.0.

My toolkit includes Python, C++, and libraries like scikit-learn, pandas, and NumPy, with additional experience in neural networks, unsupervised learning, Monte Carlo simulations, and quantitative modeling. I’ve completed certifications from Wharton and Google Cloud, covering topics like corporate finance, risk management, and machine learning in trading.

I aim to combine analytical rigor with real-world application to make a tangible impact in the world of finance and technology.