Adam B.

● 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

● 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