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

Website

Grigorios Mingas is a data scientist in easyJet, where he applies machine learning and statistical techniques to tackle a big variety of business problems and drive profits and savings. He enjoys working with customers and contributing to the evolution and growth of his team and has an interdisciplinary background in Bayesian modeling and parallel computing. Grigorios holds a PhD in electronic and electrical engineering from Imperial College.

Sessions

11:15–11:55 Wednesday, 23 May 2018
Data science survival and growth within the corporate jungle: An easyJet case study
Data science and machine learning, Data-driven business management
 Location: Capital Suite 10/11 Level: Beginner
Secondary topics:  Transportation and Logistics
Alberto Rey Villaverde (easyJet), Grigorios Mingas (easyJet)
Average rating: ****.
(4.45, 11 ratings)
Because in-house data science teams work with a range of business functions, traditional data science processes are often too abstract to cope with the complexity of these environments. Alberto Rey Villaverde and Grigorios Mingas share case studies from easyJet that highlight some unpredictable hurdles related to requirements, data, infrastructure, and deployment and explain how they solved them. Read more.