PyData London 2023

Adam Hill

I spent 10 years as an astrophysics researcher analysing high-energy data from space telescopes in the search for new objects in the universe and a better understanding of what we already knew to be out there. In 2015 I transitioned to data science joining a smart-cities startup called HAL24K. Over the next 8 years, I built data science solutions that enabled city governments and suppliers to derive actionable intelligence from their data to make cities more efficient, better informed and to make better use of resources. During that time I built and lead a team of 10 data scientists and helped the company spin out four new companies. In 2022, I joined ComplyAdvantage as a Senior Data Scientist working to combat financial crime and fraud.

I have supported DataKind UK since 2015 in their mission to bring pro-bono data science support to charities and NGOs in the third sector. And I have been an active member of the PyData community over the same time period.

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Building a data science solution for an NGO when you don’t know what infrastructure it will run on: a case study predicting tutor supply and demand mismatch
Adam Hill

The Brilliant Club supports less advantaged students to access and succeed in the UK’s most competitive universities. They do this by mobilising the PhD community to support students in schools via their courses and tutoring programme. A challenge they face is being able to anticipate the tutor supply they need to meet the increasing demands of their programmes as they expand nationally. A team of six DataKind UK volunteers worked with The Brilliant Club to develop a way to forecast and visualise the mismatch between tutor supply and demand across the UK. This is a talk about how we collaboratively explored their data and built a valuable, new tool for them and, crucially, how we did so in a flexible, scalable way that provides them with immediate value but also will fit into their future use of digital and cloud-based tools. This talk is for people intrigued by deploying new, data-driven solutions in organisations that are only just maturing into the data space. No previous knowledge is required.