The Data Scientist

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sports analytics

sports analytics
Blockchain

Why now is the right time for sports analytics

Sports analytics is a field I feel particularly close to. My PhD was in sports analytics and it had been funded by Tottenham Hotspur FC. I have also released courses on sports analytics. It is one of the areas of application of machine learning that can be so disruptive. When Read more…

By , 4 yearsMay 17, 2018 ago
predicting sports outcomes
Data science

Predicting Sports Outcomes Using Python and Machine Learning

I am very happy to announce that I have released a new course on Experfy! The course covers sports prediction and betting using machine learning. I am attaching the course description below. Contact me if you are interested in a discount! Course description: Predicting sports outcomes The purpose of this Read more…

By , 5 yearsAugust 11, 2017 ago
predictive modelling of sports injury
Data science

Predictive modelling of football injuries

I recently uploaded my thesis on arXiv. My thesis, called Predictive Modelling of Football Injuries, was a collaboration with Tottenham Hotspur FC and dealt with the problem of predicting injuries in football. Sports analytics is a relatively new field and there are very few people who are researching the area of injury Read more…

By , 6 yearsOctober 23, 2016 ago
Technical Posts

Which sports can be predicted? Part 2

We continue in this post our discussion of which sports can be predicted. In part 1 of the discussion we discussed about football, and basketball and we saw that it is possible to predict these sports to some extend. In this post we will deal with cricket, NFL, baseball and hockey. Read more…

By , 6 yearsAugust 6, 2016 ago
moneyball
Data science and AI for decision makers

Creating a data-driven culture

The importance of a data-driven culture With the world around us being more and more data-driven, organizations are trying to catch-up. One of the most interesting challenges for organizations which have been running long before the data revolution is how to create a data-driven culture. I have lots of experience Read more…

By , 6 yearsApril 16, 2016 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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