About

Namit G. is a highly skilled and experienced Data Scientist with over 2 years of experience in building machine learning and deep learning models. He has a strong focus on recommendations, Natural Language Processing, and medium frequency predictions. Namit is largely experienced in NLP with different research around LSTMs, encoder decoders, and practical applications in the industry. He is interested in cutting-edge research and has published work at top international conferences and journals such as IET, MDPI, ICSDP, ICAME, and ICIRC. Currently, Namit is working as a Data Scientist at Kivi Capital, where he is responsible for identifying trading patterns in Indian stocks and futures market using ml and statistical models in python to generate revenue. He also predicts live slippages of trades using decision tree and gradient boosting to predict money lost due to less trading opportunities. Namit has built intraday and overnight strategies using decision tree-based models based upon results across the last 10+ years. Prior to Kivi Capital, Namit worked as a Data Scientist at Amex, where he worked on a customer recommendation system using state-of-the-art machine learning techniques. He has also worked as the Head of Events and Competitions at Techkriti, Indian Institute of Technology Kanpur, where he led a team of over 100 students for conducting Asia's largest technical and entrepreneurial festival. Namit holds a Bachelor's degree in Maths and Computing from the Indian Institute of Technology, Kanpur, which he completed in 2020. He has a strong tech stack that includes research scientist, data scientist, NLP, ML, deep learning, Python, computer vision, AI, recommendation system, SQL, XGBoost, object detection, Keras, object detection, QA, neural networks, integration, web, and Apache Hive. Namit has a relevant experience of 3.28 years.