About

Nishchay Dayal is a highly skilled Data Scientist with a demonstrated history of working in the Financial Services industry. He has a strong background in Machine Learning and Data Science, and is proficient in Python and SQL. Nishchay has a keen eye for identifying investment opportunities across asset classes including equities, derivatives, and has worked as a strategist specializing in Small and Mid Cap Equities. Nishchay has a Bachelor of Technology (B.Tech.) degree from the Indian Institute of Technology, Kharagpur. He has also cleared all three levels of the CFA, demonstrating his expertise in investment analysis and portfolio management. Nishchay has a keen interest in Deep Learning and has developed solutions based on LSTM and ANN using the Tensorflow framework. With over 7 years of relevant experience, Nishchay has worked for JP Morgan Chase & Co as a Quantitative Researcher and Strategist. He has also worked as an Economic Analyst for Minpol, where he led a team of 15 members and worked on various projects related to mineral economics and strategy. Nishchay has also worked as a Data Scientist for Prizmatics, where he implemented Sentiment Analysis of Tweets and trained models on over 20,000 reviews using Python to invoke Support Vector Mechanism to classify text on a scale of 1-5. Nishchay's technical skills include Research Scientist, Data Scientist, SQL, Python, Deep Learning, Sentiment Analysis, and ML. He has experience working with Financial Databases including Bloomberg, Factset, and Morningstar. Nishchay's ability to develop Analytical Strategies based on critical themes to deliver high-quality research has made him a valuable asset to any team.