Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Grigorios Mingas

Grigorios Mingas
Data Scientist, easyJet


Grigorios has more than two years experience as a data scientist in easyJet. He has applied machine learning and statistical techniques to tackle a big variety of business problems and drive profits and savings within the company. He enjoys working with customers and contributing to the evolution and growth of his team. He holds a PhD in Electronic and Electrical Engineering from Imperial College and has an interdisciplinary background in Bayesian modelling and parallel computing.


14:0514:45 Wednesday, 23 May 2018
In-house data science teams often work with a range of business functions, apply diverse techniques and face unpredictable hurdles related to requirements, data, infrastructure and deployment. Traditional data science processes are too abstract to cope with the complexity of these environments. This session will use recent project examples at easyJet to highlight how we overcame these challenges. Read more.