PyData London 2024

JUNE 14–16, 2024

Tutorials: Friday, June 14
Talks: Saturday-Sunday, June 15-16

Leonardo Royal Hotel London Tower Bridge

WHAT TO EXPECT

PyData London 2024 is a 3-day in-person event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other.

During the conference, attendees will have the opportunity to attend live keynote sessions and talks, lightning talks, and get to know fellow members of the PyData Community.

The event will be in-person at the Leonardo Royal Hotel London Tower Bridge (45 Prescot St, London E1 8GP, United Kingdom).

The conference will span from Friday, June 14th, 2024 to Sunday, June 16th, 2024.

Keynote Speakers

Dr. Rebecca Bilbro

A pioneer of the data science revolution in the early 2010’s, Dr. Rebecca Bilbro is an applied AI/ML engineer, teacher, and author. Rebecca (aka @Elder_Data_Scientist on TikTok) is the co-creator of Yellowbrick, a Python library that integrates the scikit-learn and matplotlib APIs to support more convenient model diagnostics and steering. As co-founder and CTO of Rotational Labs (rotational.io), Rebecca is motivated by a desire to unite the data science and engineering communities. She and her team help other companies leverage in-house domain expertise and data to build and deploy LLMs, data products, and services. Rebecca earned her doctorate from the University of Illinois, Urbana-Champaign, where her research centered on domain-specific languages within engineering.

Tania Allard

Tania is the director of Quansight Labs, an organization that builds and maintains sustainable open-source projects and communities, mainly within the PyData ecosystem. She is also a director of the PSF (Python Software Foundation) and a member of the PyLadies Global Council. She is passionate about open source, its community, and building tools for developers and data scientists.

Matt Crooks

Matt is Principal Data Scientist at the BBC and focuses on modeling and optimizing the BBC's marketing. Matt joined the BBC as a Data Scientist in 2018 after spending several years as a post-doc modeling cloud microphysics in weather and climate systems. During the pandemic he developed an adaptive learning algorithm for BBC Bitesize to help GCSE students to revise while schools were closed. He spent 2021 working as the Experimentation Lead at the survey company Typeform - developing and scaling their experimentation capabilities. Since returning to the BBC, Matt has been focusing on marketing projects and causal inference and is currently using Python and data to create personalized marketing assets for BBC iPlayer.

THANKS TO OUR SPONSORS

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ABOUT PYDATA

The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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