Congratulations you have discovered my online den! I'm Shubham.
A little intro about me, I'm a Computer Engineering graduate student at New York University with a passion for quantitative finance and machine learning. With a strong foundation in computer science and engineering from my Bachelor's degree, I have tried to use the time during my Master's course to strengthen my knowledge and apply it in algorithmic trading, deep learning, and financial engineering.
I'm driven by a desire to harness the power of technology and data to drive innovation in finance. My experiences as a quantitative trader intern, teaching assistant, and data science intern have given me a unique perspective on the intersection of finance and technology.
Currently reading The Concepts and Practice of Mathematical Finance by Mark Joshi and A First Course in Quantitative Finance by Thomas Mazzoni.
Working on a project analyzing the attribution to trend in cryptocurrency trading returns and exploring the existence of workable trading strategies.
Currently working as a Quantitative Trader at Quant Farming, creating and executing trading strategies.