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entrepreneurship

Data science is a powerful tool that can be used to make decisions in entrepreneurship. It helps entrepreneurs to make better decisions by providing them with insights and predictions.

Data science is a subset of the field of analytics, which uses data to answer questions or solve problems. Data scientists are professionals who use statistical techniques, machine learning, and data mining to analyze large amounts of data and identify patterns or trends for the purpose of understanding an organization’s operations or for identifying new opportunities.

Entrepreneurship is an act of starting up a business venture with little more than one’s own money and/or credit. Entrepreneurship often begins as an opportunity-driven activity motivated by innovation, but it has grown into a global industry which includes many different sectors in its scope: from engineering to design and from manufacturing to marketing.

Data science versus data analysis
Courses

Should I Study Data Science or Data Analysis?

Do you intend to make a career in data science or data analysis but are worried about the right one for you? Are you a graduate interested in exploring the data field as part of your college degree but unsure which pathway to achieve your career success? If you’re a Read more…

By , 7 monthsSeptember 12, 2022 ago
Podcast

Podcast: Alessandra Scicchitano on the archaeology of 0 to 1

What makes a company successful? What separates the failed startups from the unicorns? Alessandra has decided to study this problem and is digging deep into some of the biggest tech companies like Slack, and Buffer, and the stories of how they came to be. If you are an entrepreneur, this Read more…

By , 1 year ago
people working on blockchain
Blockchain

A Brief History of Disruption – Through the Eyes of a Blockchain Startup

“Will blockchain disrupt my industry?” is one of the most asked questions since the technology’s inception in 2008. And rightfully so. With transparency and increased security being at the core of the blockchain concept, solving many of the modern issues for corporations and individuals alike, blockchain seems to be positioned Read more…

By , 2 yearsApril 21, 2021 ago
ai business
Podcast

Podcast: Can anyone start an AI business?

Those of you who have been following my work know that I am working a lot with startups and innovators. I have written, for example, in the past about different business models for data science. It is clear that many would be interested in starting a business in this area. Read more…

By , 2 yearsJanuary 29, 2021 ago
entrepreneurship
Data science

Data science and entrepreneurship: Business models for data science

Data science and entrepreneurship I have worked with many startups of all stages during my career. This has given me a very good understanding of the various ways that data science and machine learning can be used in an entrepreneurial setting. I’ve seen data science and machine learning being used Read more…

By , 4 yearsJanuary 31, 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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