Thomas Lewis

Data Scientist @ Silent Eight

About Thomas Lewis

Thomas Lewis is a Data Scientist with expertise in machine learning, simulation, and analytics. He has worked at various organizations, including Silent Eight, LMI, and Dell Technologies, and holds a Bachelor of Science degree in Industrial Engineering and Managerial Sciences from Northwestern University.

Work at Silent Eight

Thomas Lewis has been employed at Silent Eight as a Data Scientist since 2021. In this role, he applies his expertise in machine learning, simulation, and analytics to enhance the company's data-driven decision-making processes. His contributions focus on developing algorithms and models that improve operational efficiency and support business objectives.

Previous Experience in Data Science

Before joining Silent Eight, Thomas Lewis held several positions in data science and analytics. He worked as a Data Scientist at Moxie from 2020 to 2021, where he focused on data analysis and model development. Prior to that, he served as a Data Science Senior Analyst at LMI from 2018 to 2020, contributing to various analytical projects. His career began as a Data Analyst at Dell Technologies from 2016 to 2018, where he gained foundational experience in data management and analysis.

Internship at Syndio

Thomas Lewis completed a Data Science Internship at Syndio from 2015 to 2016 in Chicago, IL. During this seven-month internship, he gained practical experience in data analysis and contributed to projects that enhanced his skills in programming and data management.

Education and Expertise

Thomas Lewis earned a Bachelor of Science degree in Industrial Engineering and Managerial Sciences from Northwestern University, completing his studies from 2012 to 2016. His academic background laid the foundation for his proficiency in programming languages such as Python and R, as well as database management with MySQL. He specializes in machine learning, simulation, and analytics, which are critical to his roles in data science.

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