Past Meetup

Women @ PyData Reception

This Meetup is past

105 people went

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Details

NumFOCUS and the PyData London conference organizers invite you to Women @ PyData, a reception celebrating women in data science.

WHAT: Women @ PyData Reception
WHEN: Thursday, May 4th, 6:30-8:30pm
WHERE: Pivotal Labs, 211 Old St, London EC1V 9NR
WHO: London area women in data science
WHY: Light refreshments, networking, lightning talks
COST: Free with RSVP

Network with other women in data science, sign up as an interested speaker for future PyData conferences & events, and enjoy a series of lightning talks by attendees.

To sign up to give a lightning talk, please email [masked] or contact us via meetup.We have limited spots available, so claim yours quickly!

All attendees are expected to abide by our Code of Conduct (https://pydata.org/code-of-conduct.html).

SCHEDULE

6:30-7:00 - Welcome, Registration, Mingle
7:00-7:45 - Lightning Talks (9 spots available)
7:45-8:30 - Networking & PyData Interested Speaker Sign-Up

N.B. - PyData London Conference registration is NOT REQUIRED in order to attend the reception!

TALKS

Dr. Gina Helfrich (NumFOCUS) - Diversity and Inclusion in Scientific Computing

An overview of some of the current barriers to achieving a fully diverse and inclusive scientific computing community, plus a discussion of the 2-year grant NumFOCUS has received to work on this issue.

Dr. Shazia Holtom (Pivotal) - Promoting diverse teams at Pivotal

At Pivotal we want to help transform the way the world builds software. For us and our clients to succeed, we believe that diverse teams are the way forward. In this talk we will take a brief look at the ways in which Pivotal encourages it's clients to build diverse teams.

Dr. Leila Powell (Panaseer) - Women data scientists: Cyber security needs you!

Cyber security has a big data problem. A typical company might have more than 10 different security controls each generating vast amounts of alerts about each of their devices every day. The volume of network traffic that needs to be monitored to detect potential suspicious behaviour is huge. And the adoption of data science in the industry is still in its infancy. This all makes cybertech a fascinating area in which to work on cutting-edge problems and really influence the way data science is applied. In common with other tech sectors, however, there’s a lack of women involved - during this talk I want to demonstrate to you why this is an area you definitely shouldn’t miss out on! I’ll tell you about the exciting use cases for data science in security and what I do in my day job as a data scientist at cybertech startup, Panaseer. Then I’ll discuss the things we’re doing to try to attract more women to work in data science roles.

Bloomberg is proud to support NumFOCUS and the PyData London Conference 2017.

Thanks to our sponsor:

Thanks to our venue host: