About

Nabarun Chatterjee is a skilled data scientist and engineer with over 2 years of experience in the industry, project work, and freelance jobs. He is currently working as a Teaching Assistant at Scaler Academy. Nabarun is a Globsyn Finishing School Certified Machine Learning expert with Python and is skilled in web development, machine learning, statistics, problem-solving, and programming. Nabarun has participated in various competitions organized by ACM, which has helped him continuously grow and learn. He has worked with Simpl and Quotient Technology as a Software Engineer and Data Engineer and Business Intelligence developer, respectively. In his role at Quotient Technology, he has developed an in-house search engine with ML and custom business logic to improve performance and faster turnaround time for setting campaigns. Nabarun has also developed an organic search keyword to purchased product mapping tool with ML and data analytics. He has redesigned and rewritten the full architecture of ML jobs and rewritten and maintained a critical job that gives external users access to their inter analytics tool. Nabarun is currently working on developing a recommendation engine that can give better ads and sponsored product suggestions to users based on external factors. Nabarun has a Bachelor of Engineering degree in Information Technology from the University Institute of Technology, the University of Burdwan, and completed his schooling from Army Public School Barrackpore. He has a vast tech stack that includes ML, web development, software engineering, Python, data science, research science, search, and data engineering. With 4.20 years of relevant experience, Nabarun Chatterjee is a highly skilled data scientist and engineer who is continuously growing and learning. He is an excellent problem solver and has a passion for programming and machine learning. Nabarun is a valuable asset to any organization looking for a talented data scientist or engineer.