Kshitiz Garg — Operations Associate

I'm a passionate and self-driven undergraduate at Delhi Technological University (DTU) with a strong interest in Quantitative Finance, High-Frequency Trading (HFT), and Machine Learning. My academic background is complemented by hands-on experience in building predictive models, researching volatility patterns, and developing low-latency data pipelines. As a Quantitative Research Intern at Share India Securities Ltd., I worked on real-time financial data analysis and algorithmic strategy development, gaining practical exposure to market microstructure and signal generation. I'm skilled in Python, Pandas, NumPy, XGBoost, LightGBM, and Streamlit, and I enjoy building efficient tools that bring insights from complex datasets. Currently, I’m exploring opportunities in quant research, trading systems, and ML-driven financial analytics, where I can combine my technical strengths with my passion for markets. Let’s connect — I’m always open to collaboration and conversations around finance, AI, and trading.

Stackforce AI infers this person is a Fintech professional with a focus on quantitative research and machine learning applications.

Location: New Delhi, Delhi, India

Experience: 3 yrs 6 mos