Mandla has a BSc in Computer Science with Artificial Intelligence, and an MSc in Business Analytics. A focus on machine learning, agent based modelling, and operations research has given him experience applying statistical techniques across a broad range of domains, including retail and healthcare, culminating in the analysis of customer purchasing behaviour for a major luxury fashion brand during his masters.
Since joining Amey, has worked with London Underground to help develop Cipher, a fault diagnosis tool for London Underground’s Jubilee and Northern lines. He has also worked with Network Rail South East to create tools for process management and incident data input, as well as analysis of delays on the network.
Mandla is currently working at Heathrow, managing the creation of strategy documents for the airports physical assets. By engaging with key engineers and stakeholders, Mandla is helping to align the airport’s asset management plans with their vision and goals in a period of change and expansion.