Nicholas Keefer

Nicholas Keefer

Analytics Engineer @ Health Catalyst

About Nicholas Keefer

Nicholas Keefer is an Analytics Engineer with experience in machine learning and data analytics. He has worked at Health Catalyst since 2021 and previously completed an internship there, while also serving as a Brand Ambassador for Atomic Ski USA since 2012.

Work at Health Catalyst

Nicholas Keefer currently serves as an Analytics Engineer at Health Catalyst, a position he has held since 2021. He previously worked as an Analytics Engineer Intern in the ASO department from 2020 to 2021. During his internship, he developed an unsupervised machine learning project using clustering techniques for a Health Catalyst client. His role involves utilizing Azure for data analytics projects and employing visualization tools such as PowerBI and Qlik to present data insights.

Education and Expertise

Nicholas Keefer earned a Bachelor of Science degree in Physics from the University of Utah, where he studied from 2015 to 2019. His academic background provides a strong foundation in analytical thinking and problem-solving. He has experience in supervised learning through personal projects that involve regression and classification, enhancing his expertise in data science and machine learning.

Background

Nicholas Keefer has been actively involved in the field of data analytics and machine learning since his academic years. He began his career at Health Catalyst, where he gained practical experience and developed key projects. In addition to his role at Health Catalyst, he has worked as a Brand Ambassador for Atomic Ski USA since 2012, promoting brands such as Atomic Skis, Dragon Alliance, and Saga Outerwear.

Contributions to Data Science

Nicholas Keefer actively contributes to GitHub, focusing on data science and machine learning projects. His contributions reflect his commitment to the field and his desire to share knowledge and collaborate with others. His work includes developing projects that utilize various analytical techniques and programming languages, including Python and R.

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