Joshua Clouthier

Joshua Clouthier

Associate Software Developer @ Auto-Owners Insurance

About Joshua Clouthier

Joshua Clouthier is an Associate Software Developer with seven years of experience at Auto-Owners Insurance in the Lansing, Michigan area. He earned a Bachelor's Degree in Computer Science from the University of Michigan-Flint, where he also held multiple research and development roles in 2016.

Work at Auto-Owners Insurance

Joshua Clouthier has been employed at Auto-Owners Insurance since 2017, where he holds the position of Associate Software Developer. In this role, he contributes to software development projects, applying his technical skills to enhance the company's digital solutions. His experience at Auto-Owners Insurance spans over seven years, during which he has likely engaged in various initiatives aimed at improving operational efficiency and customer service through technology.

Education and Expertise

Joshua Clouthier earned a Bachelor’s Degree in Computer Science from the University of Michigan-Flint, completing his studies from 2013 to 2016. This academic background provided him with a solid foundation in software development principles, programming languages, and computational theory. His education has equipped him with the necessary skills to excel in his current role as an Associate Software Developer.

Background

Prior to his current position, Joshua Clouthier gained practical experience through various roles at the University of Michigan-Flint in 2016. He worked as an Undergraduate Research Assistant for one month, contributing to academic research projects. Additionally, he was involved in projects such as Multi-Class Classification using an Artificial Neural Network and Easy Dates, which further developed his skills in software development and data analysis.

Previous Experience at University of Michigan-Flint

Joshua Clouthier's tenure at the University of Michigan-Flint included multiple roles in 2016. He served as an Undergraduate Research Assistant for one month, where he supported research activities. He also worked on projects focusing on Multi-Class Classification using an Artificial Neural Network for one month and Easy Dates for two months. These experiences allowed him to apply theoretical knowledge in practical settings, enhancing his programming and analytical skills.

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