While part of dunnhumby UK's 2019 tech graduate scheme, I decided to make a
video outlining my daily routine at work.
The video was aimed at anyone who was contemplating either joining dunnhumby UK or returning to our offices.
I have also uploaded it as a private YouTube video for the sake of reference.
As the Final Year Project of my MEng Electrical and Electronic Engineering
degree from Imperial College London, I developed machine-learning techniques to
monitor and predict resource utilization and availability on a very large
number of computers in cloud computing and distributed environments.
My supervisor for the project was Professor Kin K. Leung. My second marker for the project was Doctor Wei Dai. This project was part of the US-UK ITA project.
I discussed my findings in my final report.
All the data used for this project has been voluntarily published by Google. The usage trace is located in a public Google Cloud Platform bucket . All code related to the project is publicly avaiable as well, at a GitHub repository.