Noah Becker

Data Scientist @ Datasite

About Noah Becker

Noah Becker is a Data Scientist currently working at Datasite in Minneapolis, Minnesota. He holds a Bachelor of Science in Statistics and Economics and a Master of Science in Business Analytics, with experience in various analytical roles and a background in international studies.

Work at Datasite

Noah Becker has been employed at Datasite as a Data Scientist since 2020. His role involves utilizing his expertise in data science to support the company's objectives. He has contributed to various projects that leverage data-driven insights to enhance decision-making processes within the organization.

Education and Expertise

Noah Becker holds a Master of Science in Business Analytics from the Carlson School of Management, which he completed in 2020. He also earned a Bachelor of Science in Statistics and Economics from the University of Minnesota, graduating in 2019. His educational background includes studying as an exchange student at Università Bocconi in Italy, where he focused on Economics.

Background

Noah Becker's early education includes a diploma from Thomas Jefferson High School, which he attended from 2011 to 2015. He has gained diverse work experience, including roles as an IT Intern at Sleep Number Corporation and as an LDE Operator at Sportradar US. Additionally, he worked as an Analytics Student Consultant at Carlson Analytics Lab.

Previous Work Experience

Prior to his current role, Noah Becker held several positions that contributed to his professional development. He worked as a Lifeguard for the City of Bloomington, MN, from 2014 to 2017, and as an Associate at Wagner Greenhouses, Inc. from 2013 to 2015. These roles provided him with foundational skills in teamwork and customer service.

Skills and Competencies

Noah Becker possesses a unique combination of skills in technical data science and business analytics. His educational and professional experiences have equipped him with strong analytical and strategic thinking abilities, making him well-suited for roles that require data-driven decision-making.

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