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We are excited to announce we have started planning the Vancouver Women in Data Science (WiDS) conference for 2022 and are looking for speakers! We encourage women interested in speaking to submit a short proposal relevant to this year's topic — Data Science in Production: Swimming in the Ocean. To apply and for more information check out the Application Proposal.


Purchase Tickets Here!

Selected recordings are available at our Youtube channel

If you have any questions, feel free to contact us at [email protected].

Streams and Schedule

Data Science as a Service

Externally, what kind of data services does your company provide and how do you evaluate the service quality? Internally, how do you use data to cultivate product and culture growth?

Impossible Data Science

What are your data science messed-up stories? Which mistakes have you made while conducting data analysis? What kind of misleading data visualizations have you encountered? What are the common bad practices that you have witnessed in the industry?

Data Ethics & Privacy

How do you implement data privacy in practice? How to protect Personal Identifiable Information (PII) while maintaining the insights needed for your analysis? What are ways companies use to enforce data ethics and comply with current regulations? We want to hear from current practice what the real world is using to help push this movement forward.

Data Science Ecosystem

Deploy and maintain machine learning models in production reliably and efficiently.


Friday March 18, 2022

Day 1 — Morning Session
Opening & Networking
Topic 1: Data Science as a Service

The role of data science in building merchant-facing data product

Federica Luraschi, Senior data scientist @ Shopify

Behind the search engine for your dream home search

Tarini Bhatnagar, Senior Machine Learning Engineer @ Realtor.com

Topic 2: Impossible Data Science

Impossible Data Science

Jassimran Kaur, Tech Lead, AI Research @ BBTV

Lunch Break
Day 1 — Afternoon Session
Topic 3: Data Ethics & Privacy

Personal Flotation Device: Healthcare Data Privacy and Security

Adebunmi Odefunso, Data Scientist @ Sloan Kettering Institute

End-to-end ML orchestration for Private Data

Zarreen Naowal Reza, AI Research Scientist @ Volta Charging

Topic 2: Impossible Data Science

From Zero to Production Ready in 9 months

Jennifer Wei, Data Scientist @ VEERUM

Closing & Networking

Friday March 25, 2022

Day 2 — Morning Session
Opening & Networking
Topic 4-1: Machine Learning Operations (MLOps)

Introduction to Vertex AI

Usha Rengaraju, Principal Data Scientist @ Infinite Sum Modeling

Machine learning best practices to build a secure and compliant MLOps platform

Sai Sharanya Nalla, Senior Data Scientist @ Amazon AWS

Hands-on Workshop: Create an end-to-end ML pipeline by CloudFormation

Rachel Hu, Applied Scientist @ Amazon AWS

Day 2 — Afternoon Session
Topic 4-2: Managing sustainable data science team

How to structure an effective data and analytics team

Florina Halasan, Data Analytics Director @ Electronic Arts

Business decision making with data science

Banu Nagasundaram, Senior Product Manager Technical @ Amazon AWS

WiDS datathon local winner announcement and presentation
Closing & Networking

Speaker List