Negar Mohammadi Shakiba
About Negar Mohammadi Shakiba
Negar Mohammadi Shakiba is a Senior Data Scientist at CCC Intelligent Solutions, with a strong background in data science and computer engineering. She has held various research and teaching positions at notable institutions and has contributed to significant projects in computer vision.
Work at CCC Intelligent Solutions
Negar Mohammadi Shakiba has been employed at CCC Intelligent Solutions as a Senior Data Scientist since 2022. In this role, she focuses on developing advanced data science solutions, particularly in the field of computer vision. Her work involves applying machine learning techniques to enhance image analysis processes, which are critical in various applications such as insurance claims and automotive safety.
Previous Experience at New Jersey Institute of Technology
Prior to her current position, Negar worked at the New Jersey Institute of Technology from 2018 to 2022. During this time, she served as both a Research Assistant and a Teaching Assistant. In these roles, she contributed to research projects and supported the educational development of students in data science and computer engineering.
Background in Education
Negar Mohammadi Shakiba holds a Doctor of Philosophy (PhD) in Computer Engineering from the New Jersey Institute of Technology, which she completed from 2018 to 2022. She also earned a Master of Science (MS) in Electrical and Computer Engineering from Southern Illinois University, Carbondale, from 2016 to 2021. Her academic background includes a Bachelor of Science (B.Sc.) in Computer Engineering from Iran University of Science and Technology, obtained from 2010 to 2014.
Achievements in Data Science Projects
Negar has led several significant projects in the field of data science. She developed a vision transformer-based classifier that achieved 78% accuracy in detecting generative AI-manipulated images. Additionally, she spearheaded a deep learning image-inpainting project using ResNet, which resulted in an 11% increase in recall for distinguishing actual damages from reflections in car accident images. She also improved airbag deployment detection accuracy from 67% to 84% using MobileNetV2, CNN, and MLPs.
Mentorship and Coaching Experience
Negar has actively mentored and coached three data science interns and junior data scientists on various computer vision projects. Her guidance has contributed to the professional development of these individuals, enhancing their skills in applying data science techniques to real-world challenges.