About Vasilis Vryniotis

Hi, my name is Vasilis Vryniotis, I'm a Data Scientist, a Software Engineer and author of Datumbox Machine Learning Framework and a proud geek. Check out my detailed CV or my LinkedIn profile for more information.

Here are few things about me:

Currently I work as a Head of Data Science for Expedia.com, the leading online travel company. Before that I have worked for companies such as King.com, Microsoft & Mozaik.com and I have co-founded WebSEOAnalytics.com.

I have an MSc in Machine Learning from Imperial College London, an MSc in Statistics and an MBA from Athens University of Economics and Business and a BSc in Computer Science from University of Piraeus.

I am particularly interested in Machine Learning; both in its mathematical foundations and its applications. I specialize in building complex Machine Learning Frameworks & Pipelines, developing custom Statistical Models & Algorithms and performing Data Modeling. Moreover I have experience in working in the areas of Natural Language Processing, Recommender Systems, Learn-to-Rank, Real-Time Bidding, Deep Learning and Computer Vision.

In my spare time I develop the Datumbox Machine Learning Framework, I contribute to other open-source projects and from time to time I publish in this Blog articles about Machine Learning, Statistics and Computer Science. Feel free to post your comments and connect with me via LinkedIn or follow me on Twitter.

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Here are my most recent posts:

How to build an Intelligent Antispam WordPress Plugin

How to build an Intelligent Antispam WordPress Plugin

In this article we will see how we can build a WordPress plugin which uses Machine Learning to block spam, adult or even negative comments from our blog. The plugin is compatible with WordPress 3.6v or higher and uses Datumbox API 1.0v. Even though this article discusses the development of a WordPress plugin, we should […]

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10 Tips for Sentiment Analysis projects

10 Tips for Sentiment Analysis projects

In my Thesis project for the MSc in Statistics I focused on the problem of Sentiment Analysis. The Sentiment Analysis is an application of Natural Language Processing which targets on the identification of the sentiment (positive vs negative vs neutral), the subjectivity (objective vs subjective) and the emotional states of the document. I worked on […]

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How to build your own Twitter Sentiment Analysis Tool

How to build your own Twitter Sentiment Analysis Tool

In this article we will show how you can build a simple Sentiment Analysis tool which classifies tweets as positive, negative or neutral by using the Twitter REST API 1.1v and the Datumbox API 1.0v. Even though the examples will be given in PHP, you can very easily build your own tools in the computer […]

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What is Machine Learning?

What is Machine Learning?

Machine Learning is a fascinating era. It is when Computer Science joins forces with the Statistical Science and magical things popup. Why is that? Because by applying knowledge from both fields you are able to analyze a large amount of information, detect patterns, predict future outcomes and extract knowledge. If I am to give a […]

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Extending CakePHP’s CacheHelper to use Cache Engines

Extending CakePHP’s CacheHelper to use Cache Engines

CakePHP is an MVC PHP framework which can make your life easier and your development several times faster. Despite the fact that it is considered a relatively slow framework, it comes with a large number of Cache Engines (FileCache, ApcCache, Wincache, XcacheEngine, MemcacheEngine and¬†RedisEngine)¬†which can help you improve the speed of your website or PHP […]

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