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Archie Norman

CEO @ Mercury Labs && CTO @ Augmentive
London, England, United Kingdom
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Archie Norman is a highly skilled professional with a diverse background in statistical natural language processing, information retrieval, data mining, network and application programming, complex networks, cloud computing, distributed systems and security, web economics, and entrepreneurship.

His academic achievements include a thesis titled 'Classification of Bitcoin transactions based on supervised machine learning and transaction network metrics,' with a distinction. The thesis explores the implications of commercial adoption of Bitcoin on user privacy and demonstrates the use of machine learning algorithms in clustering Bitcoin transactions based on graphical metrics from the transaction network.

Archie has a strong educational foundation with studies in Fintech Programme Blockchain from Saïd Business School, University of Oxford, a Master of Science (MSc) in Web Science and Big Data Analytics from UCL, and a Bachelor of Science (BSc) in Information Systems/Computer Science from Newcastle University.

His professional experience includes roles such as CEO and Founder at Mercury Labs, CTO and Co-Founder at Augmentive, Lead Data Scientist and Python Engineer at Enginuity, Data Scientist and Python Engineer at Forestreet, Director of Data Science at FRST, Data Scientist and Python Engineer at Playbrush, and positions at Thomson Reuters and Liv-ex.

Archie Norman's expertise spans a wide range of technical areas and business domains, showcasing his proficiency in leveraging machine learning, data analytics, and technology to drive business intelligence and address challenges in privacy and security.

With a background in both academia and industry, Archie has demonstrated a strong understanding of cutting-edge technologies and business applications, making him a valuable asset in the field of data science, blockchain, and technology-driven entrepreneurship.

This public profile is provided courtesy of Clay. All information found here is in the public domain.