Bahar Radfar
About Bahar Radfar
Bahar Radfar is a Data Scientist currently working at CCC Intelligent Solutions in Chicago, Illinois. With a Master's degree in Computer Science from the Illinois Institute of Technology, Radfar specializes in solving Computer Vision problems and leads a team in developing machine learning models.
Work at CCC Intelligent Solutions
Bahar Radfar has been employed at CCC Intelligent Solutions as a Data Scientist since 2019. In this role, she focuses on solving Computer Vision problems as part of the R&D AI team. Her responsibilities include conducting freezing and productionization of machine learning models, as well as building real-time metric monitoring tools for Machine Learning as a Service (MLaaS). She also leads a group of data scientists in the development of an optimal feature generator for classification models and designs the end-to-end life cycle of machine learning models, which encompasses data analysis, preparation, and large-scale distributed training.
Previous Experience at Experian
Before her current role, Bahar Radfar worked as a Software Developer Intern at Experian for three months in 2018. This internship provided her with foundational experience in software development, contributing to her skill set in data science and machine learning.
Education and Expertise
Bahar Radfar earned her Master of Science in Computer Science from the Illinois Institute of Technology, where she studied from 2017 to 2019. Prior to that, she obtained a Bachelor’s Degree in Computer Software Engineering from Shiraz University, studying from 2012 to 2016. Her educational background has equipped her with a strong foundation in computer science principles and practices.
Research and Teaching Experience
During her academic career, Bahar Radfar served as a Teaching Assistant at Shiraz University for four months in 2013. Additionally, she worked as a Graduate Student Researcher at the Illinois Institute of Technology from 2018 to 2019 for eight months. These roles allowed her to engage in research activities and contribute to the academic community while enhancing her expertise in data science.