Leading a team of analysists, data scientists and MLOps engineers, to bring the first Customer Intelligence Platform to Dyson, leveraging data across CRM, website, app and machine to drive personalisation and to report business performance in near-real time.

Using advanced analytics, and collaborating across marketing channels, drove more than 108% increase in repurchase through the creation of data-driven 121 owner and prospect interactions across Dyson's owned, paid and earned channels.

Leading a team of more than 30 data scientists and customer comms professionals to drive personalisation, which reduced churn by 25%, through the implementation of a range of new data initiatives from Next-Best-Action and pro-active churn modelling. Improved employee engagement from 72% to 84% within the first year.

Worked across a range of global clients, including Group PSA, Shell and Adidas on channel budget optimisation, forecasting of demand/supply, tactical campaign management, and funnel reporting.

Lead all of LBG's marketing mix modelling activities to improve ROI and drive significant gains across paid media using attribution modelling, econometrics, marketing mix modelling and extensive A/B testing.

Working across a range of financial services and non-for-profit organisation.- RFV and Behavioural Segmentation- Market Sizing- Predictive Modelling- Attribution Modelling- Machine Learning- Data Mining- Commercial Benefit Analysis- Customer Life time Value - Forecasting

- Predictive Analytics- Propensity Modelling- Door Drop Modelling- 'Next-Best-Action' Modelling- Macro Environmental Modelling- Survival Analysis- Segmentation and Clustering- Marketing Mix and Budget Optimisation- Machine Learning