About

Chinmay Tulapurkar is a highly skilled Data Scientist with over 3 years of experience in the field. Currently working at IBM, he has a proven track record of delivering data-driven insights to clients and stakeholders. His expertise lies in leveraging advanced analytical techniques to solve complex business problems. Prior to joining IBM, Chinmay worked as a Data Scientist at Plutronics Solutions, where he was responsible for developing predictive models for various industries, including healthcare and finance. He also worked as a Software Consultant Intern at Trignosis Infotech Pvt Ltd, where he gained experience in software development and project management. Chinmay holds a Master of Management Analytics degree from the Smith School of Business at Queen's University, which he completed in 2021. He also holds a Bachelor of Engineering degree from PES University, which he completed in 2017. His education has equipped him with a strong foundation in data analysis, statistics, and machine learning. Chinmay's technical skills include expertise in Data Science, Research Science, and Software Engineering. He has experience working with a wide range of tools and technologies, including Python, R, SQL, and Tableau. He is also adept at working with Big Data technologies such as Hadoop and Spark. As a Data Scientist, Chinmay is passionate about using data to drive business outcomes. He is a strategic thinker who can work collaboratively with stakeholders to develop data-driven solutions that meet their needs. With his strong analytical skills and technical expertise, Chinmay is a valuable asset to any organization seeking to leverage data for competitive advantage.