PyData London - PyData x WomenInData x Monzo

⭐️⭐️Different than usual venue for this event! ⭐️⭐️

Venue: Monzo Bank, Broadwalk House, 5 Appold Street, London EC2A 2AG

Please note:

1. This is a special joint event with Women in Data, hosted and sponsored by Monzo. Please check the venue details above.
2. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
3. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as you know.
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Code of Conduct:
This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.
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Agenda:

6:30: Door open + Registration.

7:00: Event starts.

7:00 - 7:10: Shubhangi Goyal - Women in Data

7:10 - 7:20: PyData London Organisers - PyData London

7:20 - 7:30: Laura McCrory - Monzo's Women's Network Co-chair | Monzo's Women Network and DEI at Monzo

7:30 - 8:00: Main talk: Sarah Toh and Kelcey Jasen , Operations Collective @ Monzo | From Data to Delight: Using Data Science & ML to Improve Customer Outcomes

8:00- 8:20: Break and networking time

8:20 - 8:30: Lightning talk and community announcements

8:30 - 9:30 Networking