Daniel is a senior data scientist specialising in building sophisticated models and creating clear visualisations to ‘tell a story’ with data.
He uses his experience as a full-stack data scientist and economics consultant to help clients get the most from their data and solve their real-world business problems using modern econometric and statistical techniques.
His recent projects include:
- the development of a machine-learning model that segmented customer chat logs into conversation topics to illustrate to the client how customers use their app’s chat feature.
- the simulation of customer journey times through a UK train operating company’s network and the impact of proposed network changes have on the client’s costs and their customer’s journey times.
- the development of an online interactive dashboard for a retail client undertaking a merger, which identified store locations that could pose concerns to the competition regulator.