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Podcast: The tribes of data scientists
I’ve talked in the past about the different tribes of data scientists. Hiring and managing data scientists is not easy. It is very important to understand that data scientists can come from many different backgrounds, with different skillsets and ways…
How to do dynamic pricing using the PAO framework
Dynamic pricing and the PAO framework Dynamic pricing is one of the most interesting application of data science. Using dynamic pricing you can find out the best price for a product or service by using historical data of past purchases.…
The Rise of AI for Good
I recently had the opportunity to participate in a podcast with the subject of “The Rise of AI for Good”. The podcast was organised by Lucy Neal and the Soda Social Podcast. During the conversation we touched upon many interesting…
Will Bitcoin Ever Be Regulated?
Will Bitcoin Ever Be Regulated?  This article is originally published by Albaron Ventures. As Bitcoin and other digital assets continue to grow in adoption and popularity, a common topic for discussion is whether the U.S. government, or any government for…
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…
Handling Imbalanced Datasets with SMOTE in Python
Today’s post is provided by Kite Table of Contents Introduction: balanced and imbalanced datasets Close your eyes. Now imagine a perfect data world. What do you see? What do you wish to see? Exactly, me too. A flawlessly balanced dataset.…
You are not Google, LinkedIn or Amazon
A very interesting article recently caught my attention. The article, called “You are not Google” explains how often companies get carried away with the newest, latest and shiniest technologies, without first thinking whether they are actually appropriate for their case.…
Data Science, the Good, the Bad, and the… Future
Today’s post is coming from Kite. Kite is a plugin for your IDE that uses machine learning to give you useful code completions for Python. You can find the original post here. Table of Contents What is data science? How…
Dynamic pricing through machine learning
We live in the era of personalisation. Through data science it becomes possible to suggest, discover and create products that are tailor-suited to each individual’s preferences. The first wave of personalisation through data science came in the form of recommender…
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…
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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, the Cyprus Blockchain Centre, a data science advisor for London Business School and CEO of The Tesseract Academy.