The Data Scientist

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data scientists

different types of data scientists
Podcast

Podcast: The periodic table of data scientists

There are different types of data scientists, something which I have written extensively on this blog: The Data Scientist. This is a topic that is particularly close to me, as I have discussed it in the past, but I am also talking about it on my workshops and seminars. On this episode, we Read more…

By , 1 weekAugust 5, 2022 ago
Artificial Intelligence

Thinking of Hiring a Data Scientist? Not as simple as it sounds…

CEOs and decision makers are increasingly realising that to in order to progress and keep up with their competitors they will need to start making data-driven decisions. Therefore, this has led to an increasing demand for data scientists and data science talent within organisations. However, when it comes to actually Read more…

By , 12 monthsAugust 29, 2021 ago
data scientists
Data science

The Periodic Table of Data Scientists

I was recently reading an interesting report by O’Reilly called The Care and Feeding of Data Scientists. This report discusses various topics, such as how to hire data scientists, how to organise data science teams and how to help data scientists grow. Something which I found particularly interesting was a Read more…

By , 3 yearsDecember 10, 2019 ago
data scientists
Data science

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 of thinking. On this podcast I provide a quick intro Read more…

By , 3 yearsNovember 24, 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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