Blake Dong

Blake Dong

Analytics Engineer Intern @ Health Catalyst

About Blake Dong

Blake Dong is an Analytics Engineer Intern at Health Catalyst, with a background in data analysis and management. He has experience working with the Utah Department of Health and Novartis, and holds a Master's degree in Information Systems from the University of Utah.

Work at Health Catalyst

Blake Dong has been employed at Health Catalyst as an Analytics Engineer Intern since 2021. In this role, he has gained experience in various analytical processes and contributed to projects that involve machine learning and data visualization. His internship is based in South Jordan, Utah, where he continues to develop his skills in data analytics and engineering.

Previous Experience at Utah Department of Health

Before joining Health Catalyst, Blake Dong worked as a Data Management Specialist at the Utah Department of Health. His tenure lasted for seven months, from 2019 to 2020. During this time, he was involved in managing and analyzing health data, contributing to the department's data-driven initiatives.

Educational Background

Blake Dong studied at the University of Utah, where he earned a Bachelor of Science in Information Systems from 2015 to 2019. He furthered his education by obtaining a Master's degree in Information Systems from the David Eccles School of Business at the University of Utah, completing his studies from 2020 to 2021. Additionally, he participated in the Laioffer Data Program, where he achieved a Bootcamp in Data Analysis in 2021.

Internship Experience at Novartis

In 2018, Blake Dong completed a one-month internship as a Data Specialist Intern at Novartis in Beijing. This experience provided him with foundational skills in data management and analytics within a corporate environment.

Technical Skills and Project Experience

Blake Dong possesses strong programming skills in Python, R, and SQL. He has a solid understanding of statistics and data analytics, which he has applied in various projects involving machine learning, data visualization, and data warehousing.

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