Shreyash Kharat — Business Analyst

As a master's student in Statistics (Finance) at the Indian Statistical Institute, I specialize in quantitative research, stochastic modeling, and algorithmic trading. My work spans volatility arbitrage, high-frequency pairs trading, and funding rate dynamics in cryptocurrency derivatives. With hands-on experience at Teesta Investment and Walmart Global Tech, I’ve applied statistical and machine learning techniques to real-world financial and data science problems—building everything from trading systems to OCR-NER pipelines. My toolkit includes Python, R, Matlab, and C++, and I’m passionate about blending rigorous statistical theory with practical execution to drive high-performance strategies and research. Currently, I’m working on a paper focused on modeling funding rates using jump processes and stochastic calculus. Let’s connect if you’re into quant finance, statistics, or creative applications of data science in trading and beyond.

Stackforce AI infers this person is a Fintech professional with a focus on quantitative finance and data science.

Experience: 9 mos