Using ML to predict UK Winter severity
Using a variety of climate index data, I attempt to predict just how cold this winter will be in the UK with machine learning and statistics.
Date Posted: 11-Nov-2022
About Me
I'm an Irish national living in the UK. I started out my data career in Astronomy, where I focussed on exo-planetary systems (i.e. planets around other stars). I have two Masters degrees in Astronomy, one from the University of Groningen, Netherlands, and one from the University of Warwick, UK. Observational Astronomy is a data-rich field, involving advanced statistics and data modelling, which fully prepared me for a career in Data Science. After university, I began my Data Science career in the water industry in the UK as the Senior Data Scientist, primarily building machine learning models to detect water leaks, developing software products for our clients, and progressing to Head of R&D and Data Analytics where I led a team of Data Scientists and Software Engineers to bring cutting edge ML products to the UK and international water industries. In 2023, I began working at Liberty Global Shared Services Centre as Data Science Manager, responsible for developing end-to-end technical solutions using GCP, educating the business on the capabilities of Data Science and ensuring Data was being appropriately leveraged. I then progressed to working as Data Science Manager at Asda in Leeds, UK where my team and I have been building Asda's very own safety stock optimisation tool, massively enhancing how Asda sets it's safety stock strategy. In well controlled trials, using an advanced synthetic control technique, this model demonstrated upwards of £23m in savings for Asda. Full roll out is currently underway and estimated to be worth £44m in waste savings and availability improvements. Most recently, I've moved into the Travel sector, working as Lead Data Scientist at Jet2.com where I am responsible for leading a team of Data Scientists to deliver impactful data products that enhance customer experience, contracting and drive business growth. Our most recent Data Science product launch aims to optimise how Jet2 procures and allocated hotel rooms for it's customers, leading to significant cost savings and improved customer satisfaction. This product is expected to save Jet2 in excess of £12m annually once fully rolled out. Now, having more than years experience in the industry, I am excited to continue driving innovation and delivering value through data science.
Skills
Throughout my career, I have gained experience with technical product development, whether it be a data science, machine learning, or software product, as well as working with cross functional teams to deliver business value.
Additional Qualifications
- Project Management Communication, Stakeholders & Leadership from Coursera. Completed in 2023. (Syllabus)
- Executive Data Science Specialisation from Coursera. Completed in 2022. (Syllabus)
- Introduction to Agile Development and Scrum from Coursera. Completed in 2022. (Syllabus)
- Managing Remote Teams from M-Training. Completed in 2021. (Syllabus)
- APM Project Management Qualification (PMQ) from The Knowledge Academy. Completed in 2020. (Syllabus)
- Inferential Statistical Analysis with Python from Coursera. Completed in 2019. (Syllabus)
- Machine Learning from Coursera. Completed in 2018. (Syllabus)
Projects
Below is a list of the various machine learning, data science and data visualisation project I've been working on.
Weather I/O (Down for maintenance)
Weather I/O is a website I built in AWS to display UK rainfall accumulation data. Using open data from the UK Environment Agency, Weather I/O displays the geographic distribution of rainfall accumulation. After searching far and wide, I could not find any service that provided this data. So I decided to build it myself.
Date Posted: 17-Nov-2022
Customer Satisfaction Dashboard
Using data collected from Google Reviews, I examine the level of restaurant customer satisfaction across the UK using Tableau.
Date Posted: 15-Dec-2022
Forecasting UK Water Demand
Through a variety of techniques, I build a forecasting model to predict future water demand in the UK.
Date Posted: 21-Jan-2023
UK Used Car Price Prediction
Using GCP and a Random Forest Regressor, I built an application that can predict prices of used cars based on a variety of features.
Date Posted: 5-May-2023
Hybrid Recommender System
With TFIDF and collaborative filtering, I built an application that can recommend movies based on user reviews and movie features.
Date Posted: 3-July-2023
Hybrid Recommender System (Streamlit app)
Find your next favorite movie with my interactive Streamlit app!
Date Posted: 9-July-2023
LLM as a Judge
An automated QA evaluation pipeline where a candidate LLM answers series of questions and a GPT “judge” scores the answers against a rubric to evaluate the performance of the LLM.
Date Posted: 15-Aug-2023
nb2dbpy
A command-line tool for converting between Databricks .py script files and .ipynb notebooks.
Date Posted: 6-Oct-2024
Automated Job Searcher
An automated job scraper that uses the JobSpy library to search for specific jobs through LinkedIn, Glassdoor, Google and Indeed.
Date Posted: 23-Nov-2024
When Networks meet Prisoners Dilemma
An exploration of the intersection between network theory and game theory.
Date Posted: 18-Nov-2025