Nathan Danneman

Nathan Danneman

Principal Data Scientist @ LMI

About Nathan Danneman

Nathan Danneman is a Principal Data Scientist at LMI, where he focuses on developing analytic solutions. He has extensive experience in data science, having previously held positions at Data Machines Corp. and IronNet Cybersecurity.

Current Role at LMI

Nathan Danneman serves as Principal Data Scientist at LMI, a position he has held since 2022. In this role, he focuses on developing forward-leaning and verifiable analytic solutions. His expertise in advanced analytics allows him to address complex challenges effectively, contributing to LMI's mission of providing innovative solutions in data science.

Previous Experience at Data Machines Corp.

Before joining LMI, Nathan Danneman worked as Chief Data Scientist at Data Machines Corp. from 2016 to 2022. During his six years in Arlington, VA, he led data science initiatives and contributed to the development of analytic strategies that enhanced the company's capabilities in data-driven decision-making.

Experience at IronNet Cybersecurity

Nathan Danneman held the position of Principal Data Scientist at IronNet Cybersecurity for one year, from 2015 to 2016, in Tysons Corner, VA. His role involved applying data science techniques to address cybersecurity challenges, leveraging his expertise to enhance the company's analytical capabilities.

Background in Education

Nathan Danneman earned a Bachelor's degree in Public Policy Analysis from the University of North Carolina at Chapel Hill, where he studied from 2003 to 2007. He furthered his education at Emory University, obtaining a Doctorate in Political Science with a focus on quantitative methods from 2008 to 2013. His educational background supports his analytical skills and problem-solving abilities in data science.

Specialization in Advanced Analytics

Nathan Danneman specializes in solving complex problems in reinforcement learning, IoT/sensors, and human risk assessment. His experience spans various domains, allowing him to tackle hard problems using advanced analytic solutions. This specialization enhances his contributions to the field of data science and analytics.

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