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UID:pretalx-pydata-london-2026-CKV8PH@pretalx.com
DTSTART;TZID=GMT:20260606T110500
DTEND;TZID=GMT:20260606T115000
DESCRIPTION:Decarbonising UK’s home heating is one of the greatest challe
 nges of the Net Zero transition\, yet it currently relies on individual ho
 usehold decisions supported by government incentives. To help accelerate t
 he local delivery\, we are building a tool that maps the most suitable low
 -carbon heating for clusters of properties at a neighbourhood level. \n\nI
 n this talk we will walk through our end-to-end data science pipeline\, co
 vering processing of large-scale geospatial data\, the nuances of modellin
 g where ground truth data does not yet exist\, and how to translated local
  authorities needs into a functional product. We will present our Python t
 ech stack and will conclude with a showcase of the user interface.\n\nWhet
 her you're interested in geospatial data engineering\, machine learning fo
 r social good\, or how to work within a multidisciplinary team\, this talk
  offers a blueprint for building data products with real-world impact.
DTSTAMP:20260617T081541Z
LOCATION:Hardwick Hub
SUMMARY:Mapping the local heat transition: from large-scale geospatial data
  to real-world impact - Sofia Pinto\, Simran Dave
URL:https://pretalx.com/pydata-london-2026/talk/CKV8PH/
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