Dustin Eagar

Dustin Eagar

Data Analyst @ Navigate360

About Dustin Eagar

Dustin Eagar is a Data Analyst with a background in Economics, Political Science, and Pure Mathematics. He has experience in data analysis and automation, and currently works at Navigate360, contributing to projects focused on mental health insights.

Work at Navigate360

Dustin Eagar has been employed at Navigate360 as a Data Analyst since 2022. In this role, he focuses on analyzing data to derive actionable insights that can enhance the organization's operations. His work involves communicating complex technical results and methodologies to various stakeholders within the company, ensuring that data-driven decisions are informed and effective.

Previous Experience at Instant Technologies

Before joining Navigate360, Dustin Eagar worked at Instant Technologies from 2020 to 2022 as a Developer specializing in Data Analysis and Automation. During his tenure in Portsmouth, New Hampshire, he was involved in the research and development of insight capabilities, utilizing traditional hypothesis testing and machine learning methods to enhance data analysis processes.

Legislative and Regulatory Analyst Role

Dustin Eagar served as a Legislative and Regulatory Analyst at Leonine Public Affairs from 2016 to 2019 in Montpelier, Vermont. In this position, he contributed to the analysis of legislative and regulatory matters, providing insights that informed the organization's strategies and decisions.

Education and Expertise

Dustin Eagar earned a Bachelor of Arts degree from the University of Vermont, where he studied Economics, Political Science, and Pure Mathematics from 2009 to 2014. His educational background provides a strong foundation for his analytical skills and expertise in data analysis and interpretation.

Technical Contributions and Projects

In his professional career, Dustin Eagar has played a significant role in engineering a document labeling corpus pipeline using PySpark. This project included the development of a KPI metrics suite to track model performance. Additionally, he contributed to the creation of a cross-product cloud data lakehouse aimed at providing insights into students' mental health and well-being.

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