Where will the fans sleep?
What happens when a host nation can’t house all its fans? Building optimisation models to forecast lodging demand for Qatar’s FIFA 2022 World Cup, balancing infrastructure needs with the risk of costly overbuilding.
I specialise in transforming business data into actionable insights that drive growth, leveraging expertise in data analysis, machine learning, and predictive modelling. My goal is to help you unlock the full potential of your data and turn it into a powerful asset for informed decision making and long term success. Let’s collaborate to create data driven strategies that elevate your business.
4 years of experience
5 years of experience
I offer tailored data consulting services, covering every stage from discovery to implementation. With a focus on advanced analytics, scalability, and clear communication, I ensure each project delivers measurable results and supports business growth.
From data collection and cleaning to advanced analytics, visualisation, and actionable insights, I provide full-cycle data consulting tailored to your specific business needs.
I design flexible data solutions that scale with your organisation, ensuring they evolve alongside your business and continue to deliver long term value.
My data-driven strategies prioritise measurable outcomes: optimising processes, improving decision making, and delivering tangible ROI for your organisation.
Here's a glimpse of the impactful projects I've recently completed - each one tailored to deliver measurable results and drive growth. Dive in to see how data can be transformed into powerful business solutions.
Developed an autonomous agent network that allows analysts to query company data in plain language and receive contextualised answers in seconds. The system reduced reliance on manual reporting by making high quality insights instantly accessible to less technical teams.
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Designed and implemented a large scale data orchestration and validation framework for a telecom data platform, ensuring reliable delivery of highquality datasets to analytics and downstream systems. This project replaced fragmented legacy processes with an automated solution, and enhanced trust in the data.
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Designed and deployed a cloud based recommendation system for a telecom client, enabling personalised offers across TV, broadband, and mobile. Integrated multiple data sources into a unified model and applied machine learning to improve targeting, resulting in increased engagement and faster campaign turnaround.
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Simulated end-to-end call centre operations using discrete event modelling to optimise staffing, queue logic, and service levels. The model incorporated realistic arrival patterns and agent handling times to test performance under varying demand.
View Case StudyWhat happens when a host nation can’t house all its fans? Building optimisation models to forecast lodging demand for Qatar’s FIFA 2022 World Cup, balancing infrastructure needs with the risk of costly overbuilding.
Discrete-event simulation of a laptop assembly line in Simul8. Fitting task time distributions, model resource constraints, and testing staffing to relieve bottlenecks.
What happens when bike stations run dry or overflow? Building a mathematical model to rebalance bikes in Edinburgh’s cycle hire system, maximising availability and minimising operational costs.