Ranjini Vaidyanathan

Ranjini Vaidyanathan

Director, Data Science @ CCC Intelligent Solutions

About Ranjini Vaidyanathan

Ranjini Vaidyanathan is the Director of Data Science at CCC Intelligent Solutions, where she has worked in various roles since 2016. She holds a PhD in Mathematics from Georgia Institute of Technology and has extensive experience in data science and research.

Current Role at CCC Intelligent Solutions

Ranjini Vaidyanathan serves as the Director of Data Science at CCC Intelligent Solutions, a position she has held since 2022. In this role, she oversees data science initiatives and strategies, contributing to the company's focus on leveraging data for improved decision-making and operational efficiency.

Previous Experience at CCC Intelligent Solutions

Ranjini Vaidyanathan has held multiple positions at CCC Intelligent Solutions. She began her tenure as a Data Scientist from 2016 to 2018. Following this, she served as Manager of Data Science Research from 2018 to 2021, and then as Senior Manager of Data Science for one year from 2021 to 2022. Her progressive roles reflect her expertise and leadership in the field of data science.

Academic Background

Ranjini Vaidyanathan has an extensive academic background in mathematics and science. She earned her Doctor of Philosophy (PhD) in Mathematics from Georgia Institute of Technology, where she also completed a Master of Science (MS) in Mathematics. Additionally, she holds a Master of Science (MSc) in Physics from the Indian Institute of Technology, Madras, and a Bachelor's degree in Applied Science from PSG College of Technology.

Teaching and Research Experience

Ranjini Vaidyanathan worked at Georgia Institute of Technology as a Graduate Teaching Assistant and Graduate Student Researcher from 2009 to 2015. In these roles, she contributed to academic instruction and conducted research, enhancing her expertise in data science and mathematics.

Data Science Training

In 2015, Ranjini Vaidyanathan completed a program in Data Science at The Data Incubator. This training supplemented her academic qualifications and prepared her for advanced roles in data science.

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