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Data science

Data Science Protocols

Standardising data science One of the main problems in data science practice is the lack of standardisation regarding procedures and techniques. Coming out of education

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About me

Dr Stylianos (Stelios) Kampakis is a data scientist and tokenomics expert with more than 10 years of experience.

He has worked with companies of all sizes: from startups to organisations like the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech, sports analytics, health-tech, general AI, medical statistics, predictive maintenance and others.

He has worked with many different types of technologies, from statistical models, to deep learning, to large language models. He has 2 patents pending to his name, and has published 3 books on data science, AI and data strategy.

He has helped many people follow a career in data science and technology.

His seminal work in token economics has led to many successful token economic designs using tools such as agent based modelling and game theory.

He is a member of the Royal Statistical Society, honorary research fellow at the UCL Centre for Blockchain Technologies, a data science advisor for London Business School and CEO of The Tesseract Academy.

Data Science

Data science is the interdisciplinary field that uses scientific methods, and algorithms, to extract valuable insights and knowledge from data.

Artificial Intelligence

AI, refers to the development of computer systems capable of performing tasks that typically require human intelligence, .

Machine Learning

Machine learning involves training computer systems to improve their performance on a specific task through data-driven algorithms and without explicit programming.


Blockchain is a decentralized and distributed digital ledger technology that records and verifies transactions across multiple computers, enhancing transparency and security.

Technical Posts

It is impossible to become a data scientist without programming. However, you don’t have to be a data scientist to use data science!