About

Tanay Singhania is a skilled Machine Learning Engineer with a demonstrated history of working in the startup culture. He currently works as a Software Engineer at Amazon, leveraging his expertise in Deep Learning, Quantitative Finance, NLP, Android Development, Java, and Python. Tanay has received the Research Excellence Award for a research article published in the Journal of Artificial Intelligence and Systems under IEC. He is pursuing a Bachelor of Technology - B.Tech focused in Mathematics and Computer Science from Delhi Technological University (Formerly DCE). Tanay has worked as a Quantitative Analyst Trainee at Quadeye, where he developed a trading strategy by generating alpha using Machine Learning and predictive modelling. He also developed a model to predict 5 min future prices by using historic data and different alphas for feature engineering. As a Software Engineering Virtual Intern at JP Morgan, he established a Stock Price Data Feed and used JPMorgan Chase frameworks and tools to display data visually for traders (Trader's Dashboard). Tanay's education history includes a Bachelor of Technology - B.Tech. focused in Mathematics and Computer Science from Delhi Technological University (Formerly DCE), an A.I. for Trading degree from Udacity, and a Machine Learning Foundation Nanodegree, Android Foundation Nanodegree 1, and High School degree in Computer Science from Gd Goenka Public School, Sector-22, Rohini. Tanay's tech stack includes Software Engineering, Deep Learning, Machine Learning, Research Scientist, Android, NLP, Python, and Java. With 2.21 years of relevant experience, Tanay is a highly skilled Machine Learning Engineer who is passionate about leveraging his expertise to solve complex problems and drive innovation in the industry.