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analytics

Data science and AI for decision makers

Why most data analytics conferences are useless

I’ve been to many data science conferences over the years. Conferences are fun. You learn new things, watch some presentations, learn about new products and services, and hear some interesting case studies. But why is it that so many people leave conferences more confused than when they first went in? Read more…

By , 3 yearsOctober 29, 2019 ago
quality assurance
Machine learning

Quality Assurance testing in analytics

QA Testing Most people are familiar with the term Quality Assurance Testing in engineering. The definition of Q&A Testing given by techtarget is: “In developing products and services, quality assurance is any systematic process of checking to see whether a product or service being developed is meeting specified requirements. […] A quality assurance Read more…

By , 3 yearsAugust 5, 2019 ago
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About me

Dr Stylianos (Stelios) Kampakis is a data scientist with more than 10 years of experience. He has worked with decision makers from companies of all sizes: from startups to organisations like, the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech (fraud detection and valuation models), 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 blockchain and he has 2 patents pending to his name.

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

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.

He was also one of the first researchers in the area of blockchain to study and discuss tokenomics. His seminal work in token economics has led to many successful token economic designs using tools such as agent based modelling and game theory.

A natural polymath, with a PhD in Machine Learning and degrees in Artificial Intelligence, Statistics, Psychology, and Economics he loves using his broad skillset to solve difficult problems and help companies improve their efficiency.

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