Sagar B.
About Sagar B.
Sagar B. is a Senior Data Scientist specializing in Computer Vision at CCC Intelligent Solutions, where he has worked since 2020. He holds a Master's degree from the University of Southern California and has extensive experience in data synthesis and AI model improvement.
Work at CCC Intelligent Solutions
Sagar B. currently holds the position of Senior Data Scientist specializing in Computer Vision at CCC Intelligent Solutions. He has been with the company since 2020, contributing to projects in the Greater Chicago Area. Prior to his current role, he worked as a Data Scientist at the same organization from 2016 to 2020 in Chicago, Illinois. His work focuses on enhancing AI models and automating the Data Science Life Cycle, which includes training models and evaluating metrics.
Education and Expertise
Sagar B. has a strong educational background in technology and data science. He earned a Master's degree from the University of Southern California, where he studied from 2014 to 2016. Prior to this, he completed a Bachelor of Technology (B.Tech.) at Veermata Jijabai Technical Institute from 2011 to 2014. He also holds a Diploma from Vivekanand Education Society's Polytechnic, which he completed from 2008 to 2011. His expertise includes designing 3D Computer Vision algorithms and engaging in research and development using TensorFlow Deep Learning.
Background
Before joining CCC Intelligent Solutions, Sagar B. gained experience as an Application Support Engineer Intern at The MathWorks for four months in 2016. He also worked as a Grader at the University of Southern California for four months in 2015. These roles contributed to his foundational knowledge in data science and application support, complementing his academic achievements.
Achievements
Sagar B. leads initiatives in data synthesis utilizing open-source tools such as Blender and VTK to tackle data scarcity in computer vision projects. He specializes in improving existing AI models by implementing architectural changes and generating insights to enhance performance. His work includes developing models that detect and localize car damage through image analysis, focusing on precision in damage detection using algorithms designed with Pytorch3D and VTK.