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UID:pretalx-cfp-SBPHGW@london2023.pydata.org
DTSTART;TZID=Europe/London:20230603T101500
DTEND;TZID=Europe/London:20230603T105500
DESCRIPTION:The Brilliant Club supports less advantaged students to access 
 and succeed in the UK’s most competitive universities. They do this by m
 obilising the PhD community to support students in schools via their cours
 es and tutoring programme. A challenge they face is being able to anticipa
 te the tutor supply they need to meet the increasing demands of their prog
 rammes as they expand nationally. A team of six DataKind UK volunteers wor
 ked 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 ab
 out 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 futu
 re use of digital and cloud-based tools. This talk is for people intrigued
  by deploying new\, data-driven solutions in organisations that are only j
 ust maturing into the data space. No previous knowledge is required.
DTSTAMP:20250709T215945Z
LOCATION:Minories
SUMMARY:Building a data science solution for an NGO when you don’t know w
 hat infrastructure it will run on: a case study predicting tutor supply an
 d demand mismatch - Adam Hill
URL:https://london2023.pydata.org/cfp/talk/SBPHGW/
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