About

Harshit Gupta is a Senior Quantitative Researcher and Data Scientist with over 4 years of experience in the finance and technology industry. He is currently employed at TrexQuant, a quant hedge fund based in Connecticut, United States, where he is responsible for discovering, designing, developing, and deploying profitable proprietary trading algorithms using the latest advances in statistics and data science. Harshit's expertise lies in dealing extensively with numerical data, including regression and XGBoost, and text data, including NLTK and Spacy. He is also experienced in optimization methods such as bayesian-opt and CVXOPT, data preparation with pandas and numpy, and data visualization with matplotlib and seaborn. Prior to his current role, Harshit focused on developing deep learning approaches for anomaly identification and image processing in 3D raw seismic data. He developed CNN-based classification and U-net-based segmentation algorithms for Schlumberger, which facilitated geophysicists in determining horizon location and simplifying the identification of oil location. His research work has been published in top seismic journals and conferences. Harshit's past experience also includes working as a Software Product Developer at XLpat, where he tested an automation module and suggested bigger changes for further improvement. He also worked as a Patent Analyst on a real project to gain insight into various patent searches. Harshit holds a Master's degree in Computer Technology from the Indian Institute of Technology, Delhi, and a Bachelor's degree in Electrical Engineering from PEC University of Technology, Chandigarh. He has a strong technical background and is proficient in research, data science, machine learning, deep learning, image processing, and software engineering. Overall, Harshit is a highly skilled and experienced professional with a proven track record of delivering successful projects in the finance and technology industry.