The Data Scientist

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Data science

What is the cookie cutter process for data science?

When you stat learning about data science, it is important to be organised. Many data scientists tend to be messy by nature. Tools like Jupyter notebooks don’t really help much. While they can be very versatile and useful for experimentation, they can unfortunately make you learn the wrong habits. Some Read more…

By , 1 yearMay 15, 2021 ago
datalyst
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Datalyst Academy is relaunching!

Are you interested in data science? Make sure to join my on-demand webinar where I talk about what it’s like to be a data scientist! The best way to learn data science I have been in data science education for a long time: universities, bootcamps, online courses, mentoring students. You Read more…

By , 2 yearsSeptember 28, 2020 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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