The Data Scientist

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interview

should we fear Ai
Artificial Intelligence

Should we fear AI?

Just how smart AI is? I had the opportunity to participate in an interview on BloxLive recently, about whether we should fear AI or not. Interestingly enough, this topic is becoming more and more popular in the media. Netflix recently released a film called I AM MOTHER where a robot Read more…

By , 3 yearsJune 26, 2019 ago
Data science

The Ups and Downs of being a Data Scientist: We hear it from the experts themselves

This post is coming from Yasmin Chamchoun. A career in data science is becoming highly sought after. With more and more people entering the field, what is that makes ‘data scientist’ such an appealing profession nowadays? Undoubtedly, the field can be very rewarding both financially and through the practical application Read more…

By , 3 yearsJune 17, 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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The Data Scientist, 85 Great Portland St, London W1W 7LT, United Kingdom
 

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