Head of Data Science
Department for Transport
2021-08-01-Present
● Use Twitter data and NLP to predict airport queues
● Combine large data sources to create a new national metric for Connectivity, allow...
● Use Twitter data and NLP to predict airport queues
● Combine large data sources to create a new national metric for Connectivity, allowing
rapid optimisation of policies across transport modes for the first time
● Create strong relationships across the organisation to source the highest value projects,
including senior staff at the highest level of the organisation
● Scope, complete and present analyses and projects using cutting edge methods in a
matter of days
● Develop dashboards, web apps, alert systems, etc at pace to meet business needs
● Orchestrate technical upskilling across the department
● Create links with data scientists across sectors to share best practice
● Use agile methodology to increase speed, quality and relevant of delivered product
Python
Git
Google Cloud Platform
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Python
Git
Google Cloud Platform
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Data Scientist
Department for Business, Energy and Industrial Strategy
2017-09-01-2021-08-01
● Develop and deploy ML models to target national retrofit policies and core priorities,
including Warm Homes Discount, ECO, MEES and fue...
● Develop and deploy ML models to target national retrofit policies and core priorities,
including Warm Homes Discount, ECO, MEES and fuel poverty
● Lead and automate multiple National Statistics Publications
● Store and share data safely, leveraging it’s value while maintaining security, privacy and
compliance with data protection law
● Develop database infrastructure for large datasets
● Build international networks collaborating on buildings efficiency and related data, such
as the Australian government’s NEAR programme
● Create large internal pair programming network and multiple study groups
● Use data to monitor and evaluate policies, including ECO, FiTs, etc
● Apply machine learning to policy implementation, including inferring property
characteristics and fuel poverty at the household level
● Present findings to technical, policy and senior customers, making the meaning for each
audience member salient