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Claire Herdeman

Data Engineer at Augintel

Professional Background

Claire Herdeman is a highly skilled data professional with a rich background in data engineering and data science, primarily focused on applying her expertise to public policy and analytics. Over the years, she has gained extensive experience working with various organizations, showcasing her ability to leverage data for meaningful impact in social and healthcare sectors.

Claire currently holds a position as a Data Engineer at Augintel, where she utilizes her analytical skills to support data-driven decision-making. Prior to her role at Augintel, she served as a Data Science Engineer at Grow Progress, where she played a crucial role in developing data-driven strategies for progressive campaigns. Her journey in the political realm began during her time with Bernie Sanders For President, as a Data Science Engineer, contributing her expertise to one of the most notable political campaigns in recent history.

Claire's early career experience includes a position as a Campaign Technology Specialist at DigiDems, where she honed her skills in technology application in political campaigns. Her foundational experience in data science can be traced back to her time as a Research Assistant at the Center for Data Science and Public Policy at the University of Chicago, where she worked on impactful projects that aimed to bridge the gap between data science and public good.

In addition to her roles focused on data science and engineering, Claire has impressive involvement in academia. She was a Teaching Assistant at the Harris School of Public Policy at the University of Chicago, demonstrating her commitment to educating the next generation of public policy professionals.

Before fully diving into the data science field, Claire amassed valuable experience as an Analyst Intern at the Analyst Institute and as a Development Analyst at Surgical Care Affiliates. These roles enriched her understanding of market dynamics and provided her with insights into the nuanced healthcare landscape. Claire also contributed significantly as a Senior Business & Market Intelligence Analyst at University of Chicago Medicine, where her analytical skills directly impacted healthcare strategies.

In the consulting domain, Claire has served as Senior Consultant in Healthcare Strategic Solutions at Navigant, showcasing her analytical rigor and strategic insight. This foundational role in consulting allowed her to develop a robust framework for evaluating healthcare solutions. She initially joined Navigant as a Consultant, where she laid the groundwork for her successful trajectory in strategic analysis and consulting.

Claire also explored various internships, such as her summer as a Business Development Intern at ISETsolar, which provided her with a unique perspective on the intersection of business and sustainable practices, and her role as a Housing & Human Services Intern at Allegheny County Economic Development, where she contributed to community health initiatives.

Education and Achievements

Claire's academic background is as impressive as her professional experience. She studied at the Illinois Mathematics and Science Academy, renowned for its rigorous curriculum and focus on science and technology education, which laid a strong foundation for her analytical abilities.

Claire furthered her education by earning a Bachelor of Science in Economics and Bachelor of Arts in German Studies at Carnegie Mellon University, both programs that are known for their challenging coursework and emphasis on critical thinking and quantitative research. Her expertise in economics heavily informs her analytical approach across various sectors, giving her an edge in understanding economic patterns and their implications for public policy.

Building on her robust undergraduate education, Claire pursued a Master of Science in Computational Analytics and Public Policy at the Harris School of Public Policy at the University of Chicago. This prestigious program equipped her with advanced analytical skills and a nuanced understanding of policy issues, preparing her to tackle complex challenges in the field.

Achievements

Throughout her career, Claire has been committed to applying data science to improve public policy and systemic efficiencies within healthcare. Her work has demonstrated that she not only possesses the technical skills required for data analysis but also understands the critical role that data plays in shaping public discourse and policies.

In addition to her technical proficiencies, Claire is dedicated to continual learning and professional development, often engaging with peers in the analytics community and contributing to discussions that elevate the role of data in public policy. Her passion for making a positive social impact through data analysis underlines her work ethos and professional journey.

Overall, Claire Herdeman exemplifies the qualities of a dedicated and innovative data professional. With her rich educational background, extensive experience in various influential organizations, and a strong commitment to leveraging data for actionable insights, she continues to contribute significantly to the fields of data analysis and public policy.

Related Questions

How did Claire Herdeman develop her expertise in data science and analyze public policy solutions?
What inspired Claire Herdeman to transition from economics to data engineering?
In what ways has Claire Herdeman applied her analytical skills in the political sector?
Which experiences influenced Claire Herdeman's commitment to public good through data?
How has Claire Herdeman's education prepared her for her roles in data engineering and public policy?
Claire Herdeman
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Location

Greater Chicago Area