Thomas Demmer is a Principal Data Analytics Auditor with nine years of experience blending public accounting rigor and data science tooling to strengthen audit insight at Virginia Tech. A CPA by training and currently learning data science with R, he applies Python, R, and SQL to automate analytics and improve audit evidence and controls. Thomas has progressed through increasingly senior audit roles, bringing practical hands-on experience from both public accounting firms and higher education internal audit. Based in Blacksburg, he pairs a practitioner’s attention to compliance with a tinkerer’s curiosity—using NeoVim and open-source workflows to prototype reproducible analyses and dashboards.
9 years of coding experience
5 years of employment as a software developer
BS, Public Accountancy, BS, Public Accountancy at State University of New York College at Fredonia
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