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Andrew Terrell

Data Science and Economics at Altana AI

Andrew Terrell has a diverse work experience spanning various industries and roles. Andrew is currently working at Altana Technologies as a Data Science and Economics professional, where they utilize graph and AI to understand the global trade ecosystem. Prior to this, Andrew was a Co-Founder and Lead International Economic & Technology Consultant at TG Consulting since 2010. Andrew also served as a Sr. Policy and Technical Consultant at Ardent till October 2022.

Before joining Ardent, Andrew worked as a British Consul for Business and Government Affairs at the Foreign and Commonwealth Office from 2016 to 2020. Andrew gained experience as a Lead Intelligence Analyst in the Strategic Analysis & Product Development Teams at Cision from 2015 to 2017. Additionally, Andrew contributed as a Defense and Legislative Policy Analyst at McAleese and Associates in 2013-2014.

Earlier in their career, Andrew worked at The White House in the National Economic Council and was a Co-Founder & President of The Scapers Guild from 2009 to 2013. Andrew also served as a Resident Director at Richmond The American International University in London from 2007 to 2010 and an Assistant Course Director at Studio Cambridge in 2010.

Overall, Andrew Terrell's work experience showcases their expertise in data science, economics, international consulting, policy analysis, and leadership roles.

Andrew Terrell holds a Master's Degree in International Political Economy & Law from the University of Warwick, which they completed in 2013. Andrew also possesses a Bachelor's Degree in International Relations, Economics, and Political Science from Richmond, The American International University in London. Their exact years of study for these degrees are not provided.

In terms of additional certifications, Andrew Terrell obtained the certifications "Graph Analytics for Python Developers" from Memgraph in October 2021, as well as "Advanced Fraud Modeling" and "Fraud and Anomaly Detection with Machine Learning" from the Open Data Science Conference (ODSC) in May 2021.

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Timeline

  • Data Science and Economics

    September, 2022 - present