Masa Kato

Masa Kato

Data Science Manager @ CCC Intelligent Solutions

About Masa Kato

Masa Kato is a Data Science Manager at CCC Intelligent Solutions, where he has worked since 2021. He has a strong background in computer vision, machine learning, and data science, with experience in various roles within the same company and a degree in Structural Engineering from the University of California, San Diego.

Work at CCC Intelligent Solutions

Masa Kato has been employed at CCC Intelligent Solutions since 2021, currently holding the position of Data Science Manager. In this role, Kato is responsible for overseeing data science projects and leading a team in the development of machine learning solutions. Prior to this position, Kato served as a Senior Data Scientist from 2019 to 2021 and as a Computer Vision Data Scientist from 2017 to 2019. This progression highlights Kato's growth and increasing responsibilities within the company.

Education and Expertise

Masa Kato earned a Bachelor of Science (B.S.) degree in Structural Engineering from the University of California, San Diego, completing the program from 2010 to 2015. Kato possesses expertise in various domains, including computer vision, image processing, and natural language processing. This educational background and specialized knowledge contribute to Kato's ability to architect scalable machine learning solutions for business applications.

Background in Data Science

Before joining CCC Intelligent Solutions, Masa Kato worked as a Data Scientist at Metis for a brief period in 2017. Kato's experience in data science began with a focus on practical applications, which has evolved over the years. Kato's career also includes a role as a Structural Engineer at Mountain Pacific, Inc. from 2015 to 2016, providing a diverse professional background that combines engineering and data science.

Technical Skills and Programming Languages

Masa Kato is proficient in several programming languages, including Python, Java, and SQL. Kato has significant experience utilizing machine learning frameworks such as Scikit-Learn, Pytorch, Tensorflow, and Keras. This technical skill set enables Kato to effectively leverage both sparse noisy data and large terabyte-scale data to build production-ready applications.

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