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.
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 | Time: Mar 18th, 2022
- Impossible Data Science | Time: Mar 18th, 2022
- Data Ethics & Privacy | Time: Mar 18th, 2022
- Data Science Ecosystem | Time: Mar 25, 2022
- Part 1: Machine Learning Operations (MLOps)
- Workshop: Create an end-to-end ML pipeline by CloudFormation
- Part 2: Managing sustainable data science team
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
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
Impossible Data Science
Jassimran Kaur, Tech Lead, AI Research @ BBTV
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
From Zero to Production Ready in 9 months
Jennifer Wei, Data Scientist @ VEERUM
Friday March 25, 2022
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
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