06-15, 09:15–10:00 (Europe/London), Warwick
To honor ten years of PyData London, join Dr. Rebecca Bilbro as she takes us back in time to reflect on a little over ten years working as a data scientist. One of the many renegade PhDs who joined the fledgling field of data science of the 2010's, Rebecca will share lessons learned the hard way, often from watching data science projects go sideways and learning to fix broken things. Through the lens of these canon events, she'll identify some of the anti-patterns and red flags she's learned to steer around.
She'll also talk about how her practice of data science has changed over time, and share a handful of fairly generalizable techniques that work for her, her students, and her engineering team at Rotational Labs.
No previous knowledge expected
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.