Negar Mohammadi Shakiba, Ph.D.
About Negar Mohammadi Shakiba, Ph.D.
Negar Mohammadi Shakiba, Ph.D., is a Senior Research Data Scientist at CCC Intelligent Solutions, with a strong background in data science and engineering. She has contributed to significant advancements in insurance claim processing and has held various academic and research positions across multiple institutions.
Current Role at CCC Intelligent Solutions
Negar Mohammadi Shakiba serves as a Senior Research Data Scientist at CCC Intelligent Solutions since 2022. In this role, she focuses on leveraging advanced data science techniques to enhance the accuracy and efficiency of insurance claims processing. Her work involves implementing cutting-edge technologies and methodologies to improve operational outcomes within the organization.
Previous Experience in Research and Teaching
Prior to her current position, Negar worked at the New Jersey Institute of Technology from 2018 to 2022. During this time, she held dual roles as a Research Assistant and Teaching Assistant. Her responsibilities included conducting research in data science and providing academic support to students. Earlier, she was a Research Assistant and Teaching Assistant at Southern Illinois University, Carbondale from 2016 to 2018.
Educational Background and Qualifications
Negar Mohammadi Shakiba earned her Doctor of Philosophy (Ph.D.) in Computer Engineering from the New Jersey Institute of Technology between 2018 and 2022. She also holds a Master of Science (MS) in Computer Engineering from Southern Illinois University, Carbondale, where she studied from 2016 to 2018. Additionally, she completed a MicroMaster in Statistics and Data Science through MITx Courses from 2021 to 2022.
Innovative Projects and Contributions
Negar has led several significant projects that have impacted the insurance industry. She revolutionized airbag deployment accuracy using MobileNetV2 and CNN, which resulted in substantial cost savings. Furthermore, she developed a high-accuracy prediction system using BERT and RoBERTa for subrogation claims, leading to significant financial savings. Her work also includes implementing GPT-4 for analyzing insurance arbitration documents, achieving notable savings across multiple cases.
Early Career and Technical Skills
Before her academic pursuits, Negar worked as a Graphic and Web Designer at Iran University of Science and Technology from 2012 to 2013. This role provided her with foundational skills in design and technology. Her technical expertise spans various areas, including deep learning, image processing, and data analysis, which she has applied in her research and projects.