Abhinav Mishra
About Abhinav Mishra
Abhinav Mishra is a Data Scientist at Smiths Detection in Bengaluru, India, where he has worked since 2019. He has prior experience in decision science at Mu Sigma Inc. and has held various leadership roles in IEEE during his academic years.
Work at Smiths Detection
Abhinav Mishra has been employed as a Data Scientist at Smiths Detection since 2019. He works in the Bengaluru Area, India, where he applies his expertise in data science to enhance security and threat detection solutions. His role involves leveraging artificial intelligence and machine learning algorithms to design and build end-to-end products that address complex challenges in the security sector.
Previous Experience at Mu Sigma Inc.
Prior to his current position, Abhinav Mishra worked at Mu Sigma Inc. for a total of three years. He served as a Decision Scientist from 2018 to 2019 and as a Trainee Decision Scientist from 2016 to 2018. During his tenure, he gained experience in analytical problem-solving across various domains, including Energy, Retail, E-Commerce, and Pharmaceuticals.
Involvement with IEEE
Abhinav Mishra has a history of involvement with IEEE, where he held multiple leadership roles. He served as Treasurer for the IEEE MSRIT Student Branch from 2015 to 2016 and as Joint Secretary from 2014 to 2015. Additionally, he was the Chair of the IEEE MSRIT Power & Energy Society during the same period. These roles contributed to his development in organizational and leadership skills.
Education and Expertise
Abhinav Mishra earned a Bachelor of Engineering in Electrical and Electronics Engineering from Ramaiah Institute of Technology, where he studied from 2012 to 2016. His educational background laid the foundation for his analytical skills and expertise in artificial intelligence and machine learning, which he has applied in various professional settings.
Analytical Problem-Solving Skills
Abhinav Mishra possesses strong analytical problem-solving skills, emphasizing the importance of accurately identifying problems as a critical step in the problem-solving process. His experience spans diverse domains, including security and threat detection, where he has successfully applied his knowledge to develop effective solutions.