Abhinav Agrawal
About Abhinav Agrawal
Abhinav Agrawal is a Data Scientist with expertise in applied research in computer vision and natural language processing. He has over six years of experience in analytics and has held various roles in organizations such as UnitedHealth Group and Thomson Reuters.
Work at Thomson Reuters
Abhinav Agrawal has been employed at Thomson Reuters as a Data Scientist since 2021. His role involves applying his expertise in data science to contribute to various projects within the organization. He operates from Bangalore Urban, Karnataka, India, leveraging his skills in analytics and machine learning.
Education and Expertise
Abhinav Agrawal completed his Bachelor of Technology (B.Tech.) in Civil Engineering at Malviya National Institute of Technology, Jaipur, from 2010 to 2014. He also attended Vivekananda Kendra Vidhyalaya, Hurda, where he completed his education from Nursery to 12th grade, achieving AISSE and AISSCE certifications. He specializes in applied research in computer vision and natural language processing, with over six years of experience in analytics.
Professional Experience
Abhinav Agrawal has held several positions in the field of data science and analytics. He worked as a Trainee Decision Scientist at Mu Sigma Inc. from 2014 to 2016. He then served as a Campaign Leader at Teach For India from 2013 to 2014. Following that, he was a Data Scientist at UnitedHealth Group from 2016 to 2019, and later advanced to the role of Senior Data Scientist at the same company from 2019 to 2021.
Background
Abhinav Agrawal began his educational journey at Vivekananda Kendra Vidhyalaya, Hurda, where he studied from 1995 to 2009. He then pursued a degree in Civil Engineering at Malviya National Institute of Technology, Jaipur. His early career included a significant role as Organizing Secretary for NEURON'12 at MNIT Jaipur in 2012, where he contributed to organizing events in the Jaipur area.
Achievements in Analytics
With over six years of experience in analytics, Abhinav Agrawal has focused on the ideation and implementation of machine learning projects. His work spans various industries, showcasing his ability to apply data science techniques effectively. His roles at organizations like UnitedHealth Group and Thomson Reuters highlight his contributions to the field.