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How do you communicate the value of data when management doesn’t “get it”? Daniel explores strategies for bridging the gap between technical insight and leadership expectations, sharing lessons on influence, communication, and impact.

Fair access to healthcare depends not just on distance, but on how reliable public transport really is. Traditional studies often rely on scheduled travel times, missing the variability people actually face. Zihao presents a new approach using real-time bus data to compare scheduled vs observed travel times to hospitals and GPs across England. The results show systematic gaps between expected and observed travel times, revealing new dimensions of inequality and highlighting the importance of operational data for more evidence-based transport and service planning.

Sewage pipes may not be the most glamorous subject, but they are critical to how our cities function. Me and my team have been developing tools to automatically annotate faults in sewage pipes. One of the functionalities we explored is to predict and record water level during the surveys, since it affects how much of the pipe can be inspected. In this talk, I will share the approaches we have explored and some insights into their effectiveness and the challenges we faced.

AI/ML
PyData Exeter #10 2025-06-11 · 17:45

Enjoy three talks from our brilliant speakers after drinks and networking.

Sponsors: NumFOCUS Exeter Innovation Hub Butterfly Data - https://butterflydata.co.uk Mekion - https://www.mekion.co.uk

Agenda:

• 18:45 Doors open • 19:15 Talks start • 20:30 Talks finish - stick around for a drink and networking at the CUCKOO taproom across the road.

Talk #1 by Lucie Wright From South West Water

Title: Natural Capital Mapping in the Water Sector

Right now we are experiencing a step-change in the way we manage the natural world around us, thanks to a combination of public datasets combined with high resolution satellite imagery now at our fingertips. This talk is an introduction to the real world application of an AI powered GIS system in the context of habitat mapping and how humans are essential to shaping its functionality.

Talk #2 by Jamie Conn and Matt Drew From Sparx Learning

Title: Beyond multiple choice: Using LLMs for Marking and Feedback in Secondary Science Sparx Science is an online homework system used weekly by over 400,000+ students in England, part of the broader Sparx portfolio which serves 2,600+ schools and 2.2m+ students. Traditionally, open-response questions—requiring students to answer with anything from a few words to full paragraphs—have required marking by teachers. As a result, online homework systems typically relied on constrained question types, such as multiple-choice. However, Large language models (LLMs) have opened the door to reliably mark and provide meaningful feedback on open-response tasks, supporting effective retrieval practice and challenging students to think deeply. In this talk, we'll share our approach to using LLMs to automatically mark prose in Sparx Science, including: fine-tuning, prompt engineering, and everything in between.

Talk #3 by Yash Sakhuja From Performalytics

Title: Presentation on how AI can be used for fuzzy matching Showcasing how vector embeddings and unsupervised learning techniques can effectively deduplicate and merge messy customer data, illustrated through a real-world use case.

A little more about our speakers

  • Jamie Conn

Leads the product development of Sparx Science. Formerly a Data Scientist developing personalisation algorithms used across Sparx products.

  • Matt Drew

Data Scientist in the Modelling & Research team at Sparx. Works largely on the monitoring, development, and deployment of the various models used in our products.

  • Yash Sakhuja

“I’m a Data & Insights Analyst at Performalytics, where I help e-commerce, retail, and sports brands unlock growth through data storytelling, machine learning, and AI. With a Master’s in Operations Research and Risk Analysis from the University of Manchester, I’ve delivered talks at PyData Manchester, Southampton, and Cambridge. Outside of work, I serve as the Vice President of Education at Toastmasters in Oxford, combining my love for public speaking with a passion for improv and all things data.”

CODE OF CONDUCT 
The PyData Code of Conduct governs this meetup ([https://pydata.org/code-of-conduct/](https://pydata.org/code-of-conduct/)). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT)

PyData Exeter #10
PyData Exeter #1 2023-10-18 · 18:00

PyData Exeter #1 Join us for our first event in a bimonthly series! We are very excited to have a lineup of three speakers for our inaugural event each presenting a 20 minute talk! In the break between the talks our sponsors are providing pizza and drinks. After the last talk we will continue to Topsham Brewery for more socialising.

Agenda for the evening: 18.30 Doors Open 19.00 Talks start 20.45 Moving on to Topsham Brewery

Speakers:

  • Mikkel Lykkegaard, The Power of pip Mikkel is a data scientist and currently Data Science lead at DigiLab. He is a veteran Python user, and an open-source enthusiast. He has contributed to the probabilistic programming framework PyMC, and maintains the MCMC software package tinyDA. When he's not creating data analysis tools, he is usually found in a tent on Dartmoor, or on his couch playing the latest roguelike video game.
  • Owen Saunders, Science of Science Owen is a PhD candidate at the University of Exeter working in the field of Science of Science (SciSci). The Science of Science studies the mechanisms underlying science, the development of domains, ideas and innovation. How exactly does the world of Science differ from the everyday world? What do we need to do to improve our research and development? And how do we extract, process and optimise our information?
  • Dan Maxwell, Producing Models That Work How do you ensure your models are right when you find yourself performing a critical role in a multibillion-pound project with the whole world watching? Daniel Maxwell has built models for multibillion-pound sporting events across the world. Here he will give you a glimpse into that world and describe how top teams working on high profile projects shore up their models to ensure they get robust results.

Location: Generator hub

Sponsors: DigiLab, University of Exeter

CODE OF CONDUCT The PyData Code of Conduct governs this meetup (https://pydata.org/code-of-conduct/). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).

PyData Exeter #1
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