Daniel throughout his career has utilised a range of programming languages to develop bespoke software and tools to solve a range of problems. A large focus of his work has been within the water sector where he has developed applications that have automated a range of tasks and increased the ability to analyse complex datasets. In recent years Daniel has harnessed machine learning as a tool to automate previously manual data review processes and interrogate various datasets.Daniel has also harnessed cloud computing using Microsoft Azure to develop enterprise applications for multiple clients. As part of this work he has designed & managed extensive systems that have been responsible for the processing of data from thousands of client’s assets.Alongside this Daniel has developed and managed the deployment of a number of web applications, such as applications to calculate the carbon produced during the life of water assets, and the overall benefits of the construction of blue/green infrastructure.