PyDataMCR May!

PyDataMCR May!

THE TALKS

Using data science to get personal health insights from smart wearables - Richie (Thomas Manandhar-Richardson) (he/him)

In recent years there has been a boom in smart wearables for tracking sleep, stress, and exercise. Millions are now wearing a variety of devices from Apple Watches, FitBits, to Whoop Bands and Oura Rings. While they all offer in-app ways to explore your personal health data, data-savvy users can dig deeper using their APIs. Using 2 years of my own sleep and activity data collected from my Oura ring, we'll delve into what these devices can teach us about our health. I'll share practical tips on data collection, the statistical methods you can use to maximise your insight, and the surprising difficulties you might encounter when AB testing ways to improve your sleep.

Richie is a data scientist at both Peak AI and Bryant Research. At Peak, he builds AI applications for leading companies, primarily in retail, with a focus on understanding customer behaviour and using AI to optimise prices. At Bryant Research he uses his data skills to conduct research on how to build a food system that is better for people, the planet, the economy, and animals. His main areas of interest are in causal inference and AB testing, Large Language Models as well as data for good. Outside of work he enjoys vegan junk food, borrowing other people's dogs, Latin dancing and Obsidian.md.

Has Python found its Mojo? A New language for ML and AI - Joe Mulvey

Mojo is a new language designed to be a superfast superset of Python - a sort of Python++. It is intended to make Python's ease of use and accessibility available to people who need fast execution - especially those working in ML and AI. It has been hyped as "the biggest programming advance in decades". Does it live up to its billing?

Joe is head of Data Engineering at Northcoders. After a career in finance (mainly with Barclays Capital in London), Joe became a teacher before taking the Northcoders course in 2017. Since then, he has worked in data engineering roles at AutoTrader, Greensill Capital and Inawisdom (now part of Cognizant). Since 2022, he has been responsible for the Data Engineering course at Northcoders

Location
We'll be at Northcoders at Manchester Technology Centre, who are kindly supplying catering. The capacity is limited to 80.

EVENT GUIDELINES

PyDataMCR is a strictly professional event, as such professional behaviour is expected.

PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY

Under 16s welcome with a responsible guardian. There is a quiet room available if needed. There is a lift to the venue and toilets are accessible.

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support

Thank you to NorthCoders for an awesome venue and catering!