What we're about

This group is for women interested in data science, data analytics, data engineering, and math and stats, as well as members from our broader community who support our goals.

The purpose of our group is to provide an open, welcoming, and fun environment for women (all folks who identify as female) to network, learn, and innovate. We welcome women already in or aspiring to be in data driven fields. We provide a platform for women to share their knowledge and learn from one another.

Allies are welcome to attend, with the understanding that these events are focused on spotlighting, sharing, and learning about the career experiences of women.

Upcoming events (1)

Fireside chat with Serena McDonnell, Claudia Nguyen and Susan Shu Chang

Link visible for attendees

Welcome to Toronto Women’s Data Group virtual fireside chat! We’ll have career advice, stories about getting a promotion, fun data science projects, and more.

Join us, meet the speakers, and ask your own questions!


  1. Ice breaker questions
  2. Panel questions
  3. Q&A
  4. Networking

About the Speakers

Susan is a Principal Data Scientist at Elastic (of Elasticsearch), with previous ML experience in fintech, social, and telecom. She is also the founder of Quill Game Studios, and manages 10 long-term contributors there. You can find Susan speaking at conferences such as PyCons, Toronto ML Summit, and events like this one!

Serena is a machine learning researcher, engineer, and community builder, and comes from a multidisciplinary background. Passionate about knowledge sharing and continuous learning, Serena co-hosts Deep Random Talks, a podcast which focusses on machine learning, product development, and knowledge management. She is an organizer of AI Socratic Circles (AISC), a highly technical machine learning reading group for industry professionals. As part of AISC, Serena leads a research group that focusses on applying natural language processing and representation learning to recommender systems. Serena holds an M.Sc. in Mathematics from the Hong Kong University of Science and Technology, and a B.S.c. in Mathematics and Biology from McGill University.

Claudia is a senior data scientist at Bell Canada, where she has spent 2 years using ML to improve the digital self serve experience. Prior to this, she worked in experimentation design for Kijiji, where she developed testing frameworks for new site features. Currently, her main area of focus is in developing recommender systems for the MyBell website and app.

The meeting link will be shared closer to the event.

Past events (38)

Talking #TravelTech with G Adventures!

Needs a location

Photos (14)