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Marios Michailidis

Marios Michailidis is Research data scientist at H2O ai and part-time PhD in machine learning at University College London UCL with a focus on ensemble modelling. He has worked in both marketing and credit sectors in the UK Market and has led many analytics projects with various themes including: Acquisition, Retention, Uplift, fraud detection, portfolio optimization and more. In his spare time he has created KazAnova, a GUI for credit scoring 100% made in Java as well as is the creator of StackNet Meta-Modelling Framework. In his spare time he loves competing on data science challenges and was ranked 1st out of 500,000 members in the popular Kaggle.com data competition platform.

StackNet's official Repo is here

Find here a blog of StackNet methodology winning a popular data science (kaggle) competition.

Here you can find a blog about Marios being ranked top in kaggle out of 470,000 data scientist sharing knowledge tricks and ideas.

Finally, Marios' website can be found here, with more info on other related (free) software he has developed in the past for predictive analytics.

Talks I've Given