About

Nishit Bhandari is a highly motivated and diligent Quant Researcher with a passion for trading, mathematics, and finance. He is currently working as a Quantitative Strategist at Two Roads Tech, where he deals with medium and high-frequency trading of NSE futures. With a background in Computer Science from IIT Bombay, Nishit has honed his skills in research and analysis, making him a valuable asset to his team. Nishit's exceptional academic performance is reflected in his achievement of AIR 40 in the Indian National Maths Olympiad, where he was honored with a gold medal. He was also shortlisted to represent India at the international level. His passion for learning and taking on new challenges has helped him excel in his career. Prior to joining Two Roads Tech, Nishit worked as a Software Engineer at Samsung, where he was part of the team developing Samsung's first driverless car to be showcased at the Consumer Electronics Show (CES). He led a sub-project handling dynamic object detection using deep learning techniques (CNNs) in Caffe, which was shortlisted for the Samsung Best Paper Award 2017. Nishit's education history includes a B.Tech with Honors in Computer Science from IIT Bombay, where he graduated in 2015. He attended Delhi Public School in Jodhpur from 2004 to 2009. Nishit's technical skills include research scientist, object detection, software engineering, deep learning, and mobile development. With 7.78 years of relevant experience, Nishit is a highly skilled and talented individual who is always eager to learn and grow.