Sudeep Mandal
About Sudeep Mandal
Sudeep Mandal is a Principal Data Scientist and Machine Learning Engineer with a strong academic background, holding a BTech from the Indian Institute of Technology, Bombay, and a Ph.D. from Cornell University. He has held various roles in data science and engineering, including positions at GE Global Research and CoVar.
Work at CoVar
Sudeep Mandal has been employed at CoVar since 2018, currently holding the position of Principal Data Scientist and Machine Learning Engineer. His role involves leveraging data science and machine learning techniques to drive innovative solutions within the organization. Prior to his current role, he worked at CoVar as a Data Scientist and Machine Learning Engineer from 2016 to 2018. During this time, he contributed to various projects that enhanced the company's data analytics capabilities.
Education and Expertise
Sudeep Mandal earned a Bachelor of Technology (BTech) in Engineering Physics from the Indian Institute of Technology, Bombay, where he studied from 2001 to 2005. He furthered his education at Cornell University, obtaining a Doctor of Philosophy (Ph.D.) in Applied and Engineering Physics from 2005 to 2010. His academic background provides a strong foundation in both theoretical and practical aspects of data science and machine learning.
Background
Sudeep Mandal has a diverse professional background in the field of data science and engineering. He began his career as a Postdoctoral Research Associate at Cornell University in 2010, where he worked for six months. Following this, he joined GE Global Research as a Photonic Device Scientist, a position he held from 2010 to 2015. He later advanced to the role of Lead Scientist and Project Manager at GE Global Research in Albany, New York, from 2015 to 2016.
Achievements
Throughout his career, Sudeep Mandal has contributed to various projects and initiatives in data science and machine learning. His experience spans multiple roles across different organizations, including significant positions at GE Global Research and CoVar. His academic credentials and professional experiences reflect a commitment to advancing the field of data science.