About

Neil Chitre is a highly skilled Data Scientist with a passion for solving real-world problems using his expertise in Data Science. He is currently pursuing his Master's degree in Data Science from the University of San Francisco. With over 4 years of experience as a Full Stack Developer, Neil is highly proficient in SQL, Python, Java, and ReactJS. Neil is currently working as a Data Scientist at boost, where he is responsible for developing data-driven solutions to complex business problems. Prior to this, he worked as a Senior Software Engineer at Philips, where he developed an end-to-end software solution that connects Senior Radiologists at remote locations with on-site rookie Technologists and enables them to perform highly efficient MRI and CT scans. He also built the backend framework for ROCC using Python and Java and designed the database schema for ROCC on Postgres. Since its launch in December 2020, ROCC has been deployed in 3 large hospital chains in the United States and has reduced the average time of MRI and CT scans by 30% and the patient recall rate by 23%. Neil's expertise in Data Science and his experience as a Full Stack Developer make him a valuable asset to any organization. He is well-versed in both backend and frontend development and has a deep understanding of database design and management. Neil is a skilled communicator and collaborator and excels in working in a team environment. Neil holds a Bachelor's degree in Computers and Communication Engineering from Manipal Institute of Technology and is expected to complete his Master's degree in Data Science from the University of San Francisco in 2023. He is a versatile professional with a strong work ethic and a passion for continuous learning and professional development.