Shekhar Tanwar
About Shekhar Tanwar
Shekhar Tanwar is a Machine Learning Engineer with a background in data science and a strong focus on developing technologies for human health. He has held various positions in notable organizations, including Highmark Inc. and Accenture AI, and has a solid educational foundation from institutions such as Stanford University and Carnegie Mellon University.
Work at Highmark Inc.
Currently, Shekhar Tanwar serves as a Machine Learning Engineer at Highmark Inc. since 2020. In this role, he leads machine learning initiatives that specifically target overdose trends and behavioral health. His work focuses on developing technologies that enhance human health through advanced data analysis and machine learning techniques. Prior to this position, he worked as a Data Science Consultant at Highmark Health for five months in 2018, contributing to various data-driven projects in the Greater Pittsburgh Area.
Education and Expertise
Shekhar Tanwar has a strong educational background in computer science and data science. He studied at Carnegie Mellon University, where he earned a degree in Data Science from 2010 to 2014. He also studied at Vellore Institute of Technology, achieving a Bachelor of Technology in Computer Science and Engineering from 2018 to 2019. Additionally, he studied Machine Learning Systems Design at Stanford University. His expertise includes project design and management, data analysis, and the development of research tools.
Previous Work Experience
Before his current role, Shekhar Tanwar worked at PACCAR as a Data Scientist from 2019 to 2020, where he applied data science techniques in Pittsburgh, Pennsylvania. Prior to that, he spent four years at Accenture AI as a Data Science Analyst in Bengaluru, Karnataka, India, from 2014 to 2018. He also gained experience as a Research Assistant at Carnegie Mellon University for five months in 2018, contributing to research projects in the Greater Pittsburgh Area.
Research Interests
Shekhar Tanwar has a strong interest in developing technologies that benefit human health. His research focuses on areas such as computer vision, machine learning, and natural language processing. This interest aligns with his current work at Highmark Inc., where he leads initiatives aimed at addressing overdose trends and improving behavioral health outcomes.