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
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
What is the right way to build a recommender system for a startup?
A recommender system is the kind of service that every B2C startup needs. It can improve sales and user experience, while at the same time helping you understand your customers better. So, what is
Performance measures: standard deviation, MAD, and quantiles
xSomething else which I have found helps a lot is the use of error histograms and the standard deviation or quantiles when reporting errors. So, for example, <GRAPH> When a
What deep learning is and isn’t
Deep learning has become one of the hottest buzzwords in the world of tech. And like all buzzwords it has raised questions, created expectations but has also given birth to some
Can we predict Bitcoin prices using machine learning?
Bitcoin and machine learning Something that I’ve been asked a lot is whether it is possible to predict Bitcoin (or any other’s cryptocurrency’s prices) in order to make a profit. With the
How to hire and manage data scientists (written by a data scientist)
Data scientists are special beast. I should know, since I am one of them 🙂 Hiring and managing data scientists is not an easy process. In this series of posts
How to read an ICO white paper?
White papers and ICOs The publication of a white paper have become something of a standard procedure in ICOs. When a startup is rolling out an initial coin offering, they outline the most
Is agent based modelling the best tool for tokenomics?
Agent based models have been around for a few decades now. One of the main methodologies behind the study of complex systems, the main idea behind ABMs is the modelling of systems
Transforming a city. Pittsburgh’s journey from rust belt to tech hub.
Visiting the city of Pittsburgh Recently, I had the opportunity to become a YTILI (Young Transatlantic Leader’s Initiative) fellow. YTILI is a program run by the German Marshall Fund and the State Department and cultivates relationships
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
Quick Tips: Data analysis cheat sheets
With the rapid expansion of data science and supporting technologies it can become difficult to keep up with all new developments. There is always some new library for data analysis and machine learning for
Doing linear regression the right way
Linear regression is without question the most famous statistical algorithm. It is often the first algorithm that is being taught in machine learning courses and it is surprisingly effective in a
Data science in marketing: A tool for discovering the most successful online ads
In this post I am proud to show a piece of work done in using data science in marketing. This work was done in collaboration with Oren Greenberg from Kurve. A common problem in online advertising is identifying
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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, the Cyprus Blockchain Centre, a data science advisor for London Business School and CEO of The Tesseract Academy.