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PyDataMCR Code Night - October

Have a data project or some coursework? Want to get to talk it through with your data peers?

Come to our Code Night at Social Refuge! A night to work on your own project, with supportive peers available for advice. Ask for tips from others more experienced than yourself, or teach somebody else something great!

WHAT YOU WILL NEED - A laptop - A project (optional!\, feel free to join us for a chat or to provide others with advice).

HOW IT WILL WORK 1830-2030 Come down and join us to Social Refuge to work on some code together. You'll have an opportunity to share any problems you're working on with other attendees. After the event we'll head around the corner to Seven Brothers for some post-event socialising.

Location We'll be at Social Refuge: Ancoats, join us downstairs! The capacity is limited to 40 people, so sign up early for a spot!

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. Toilets and venue are accessible.

SPONSORS Thank you to NUMFocus for sponsoring Meetup and further support. Thank you to Autotrader, Krakenflex and Horsefly Analytics for their ongoing support and sponsorship of PyDataMCR.

PyDataMCR October

THE TALKS

The Data Architecture behind John Lewis Partnership's Return to Profit - Anna Aleshko (She/Her) and Jacopo Coluccino (He/Him)

In this presentation, Jacopo and Anna will take you through the data journey of the John Lewis Partnership, exploring the evolution that led to the creation of the Partnership Data Platform (PDP). We'll delve into the history, the challenges we faced, and the strategic decisions that brought us to where we are today. Additionally, we'll share a real-world example of how PDP teams are able to deploy production ready data pipelines with external third party integrations in a matter of days.

Anna Aleshko is a Data Engineer at John Lewis Partnership where she is part of the Waitrose Online team. With an educational background in biochemistry & experience spanning several industries, she brings a unique perspective to her work. As Founder & Co-Organizer of Data Engineers London, she is passionate about knowledge sharing & community engagement among data professionals.

Jacopo is a Data Engineer at the John Lewis Partnership and a Software Engineering Master's student at the University of Oxford. In his current role, he leads the Partnership's Customer Data team, where he is instrumental in establishing a robust customer data infrastructure on the new Snowflake platform. With a passion for crafting Python solutions grounded in solid object-oriented design, Jacopo excels at integrating business insights with data-driven decision-making.

Revamping our A/B testing methodology - everything is a histogram if you squint! - Dustin Hayden (He/Him), Tom Armitage (He/Him)

Auto Trader is always striving to improve the user experience on the website, constantly making changes. Understanding the impact of these changes is vital to know if our changes are having the intended effect. A/B tests are the go-to quantitative gold standard, but there are many different methodologies to choose from when it comes to analysing the data. In this talk, Dustin and Tom will discuss Auto Trader’s shift to a Bayesian framework, the benefits of this, the challenges, and how they developed approaches to overcome them.

Tom is a data scientist at Auto Trader with a background in computational astrophysics, where he first developed an interest in ML. He has worked on various products involving imagery, forecasting, and optimisation, with his current projects focusing on search and recommendation systems.

Dustin is a data scientist at Auto Trader with a background in neuroscience. He is currently developing models for search at Auto Trader and models for polyphonic note detection at home.

Location We'll be at AutoTrader, who are kindly supplying the venue and 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. Toilets and venue are accessible.

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support.

Thank you to AutoTrader for their sponsorship and for the awesome venue and catering!

Thank you to Krakenflex for sponsoring PyDataMCR.

Thank you to John Lewis for sponsoring this PyDataMCR event.

For our October event we're going to be teaming up with Open Data Manchester again!

***MAKE SURE TO SIGN UP ON THE EVENTBRITE*** https://www.eventbrite.co.uk/e/who-are-we-making-sense-of-the-census-tickets-695848671107 ***MAKE SURE TO SIGN UP ON THE EVENTBRITE***

Are you curious about the ever-evolving landscape of Greater Manchester? Join Open Data Manchester and PyDataMCR for an exploration of the 2021 Census, where we’ll dig into this data and share insights about what census tells us about where we live today. We’ll being with a few short talks from some guest speakers who will shed light on the significance of the Census, how it’s utilized and why it matters in our ever-changing society. Then, we’ll delve into the Census data itself, working in groups to uncover hidden insights and trends. At the end of our data expedition, we'll come together to share anything fascinating that we've discovered.

• Bring a device if you want to explore the data yourself
• Come prepared with any questions or lines of inquiry you might have
• Or simply come along, team up with others in the room and listen to expert advice on hand.

Whether you're a data enthusiast, working with the Census or simply a curious resident, this event is for you.

Schedule: 6.30 Arrive, refreshments, etc 6.40 Intro by Open Data Manchester 6.45 Talks 8.00 End of talks, refreshments, chatting etc 8.30 Close. Code of conduct Everyone is welcome at Open Data Manchester events. Please take a minute to read our code of conduct. Refreshments We will provide refreshments, but we recommend you might want to grab something to eat beforehand. Accessibility There is step free access to the building. The door staff will be able to bring out a ramp for you if required. The rest of the building is an accessible venue with a lift to all floors.

***MAKE SURE TO SIGN UP ON THE EVENTBRITE***