2022 Vancouver Women in Data Science Conference

Women in Data Science Vancouver

2022 Vancouver Women in Data Science (WiDS) Annual Conference

2022 Women in Data Science (WiDS) Vancouver Annual Conference is a virtual event with a focus on exploring different aspects of implementing data science in production. Our talks and workshops are designed to explore: <ul><li>how to do serve data science products for external and internal clients, </li><li>what is the current practice on enforcing data ethics and privacy, </li><li>mistakes and bad practices to avoid that will lead to false insights, </li><li>up and coming MLOps infrastructure that you need to put on your radar, and </li><li>how to organize a data science team in relation with other teams in a sustainable way.</li></ul>Follow our <a href="https://www.linkedin.com/company/wids-vancouver" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">LinkedIn</a> page for more updates and information about speakers, organizers and what to expect during the events.All of our ticket sales will go toward operating WiDS Vancouver, ensuring that speakers and participants have the most enjoyable time at the events.

<h2>Day 1 - March 18th, 2022 (Friday)</h2>Agenda<ul><li>9:00 - 9:30: Open speech &amp; speed networking</li><li>9:30 - 11:40: 2 talks on Topic 1: Data Science as a service</li><li>11:45 - 12:45: 1 talk on Topic 2: Impossible Data Science</li><li>12:45 - 1:30: Break + Networking + Sponsor Spotlight</li><li>1:30 - 3:40: 2 talks on Topic 3: Data Ethics &amp; Privacy</li><li>3:50 - 4:50: 1 talk on Topic 2: Impossible Data Science</li><li>4:50 - 5:30: Closing speech &amp; speed networking</li></ul>Time: 9:00 AM - 5:30 PM Pacific Standard Time (PST)On this day, we will focus on these 3 topics:Topic 1: Data Science as a serviceIt is no secret when data science products can be used to serve both external and internal clients. This topic explores how different it is to leverage data science as a service, and to cultivate product and culture growth.Talk1: The role of data science in building merchant-facing data products by Federica Luraschi, Senior data scientist @ ShopifyTalk 2: Behind the search engine for your dream home search by Tarini Bhatnagar, Senior Machine Learning Engineer @ Realtor.comTopic 2: Impossible Data ScienceMost of the time, we are faced with failures and mistakes along the way building something useful. Here is the venue to share those mistakes, messed-up stories, common bad practices and lessons learned from them.Talk 1: Getting Insights From Noisy User Generated Content by Jassimran Kaur, Tech Lead, Research @ BBTVTalk 2: From Zero to Production Ready in 9 months by Jennifer Wei, Data Scientist @ VEERUMTopic 3: Data Ethics &amp; PrivacyHow do you implement data privacy in practice? How to protect Personal Identifiable Information (PII) while maintaining the insights needed for your analysis? What are the various ways companies use to enforce data ethics and comply with current regulations? This topic dives into current practice of what the real world is using to help push this movement forward.Talk 1: Personal Flotation Device: Healthcare Data Privacy and Security by Adebunmi Odefunso, Data Scientist @ Memorial Sloan Kettering/Sloan Kettering Institute.Talk 2: End-to-end ML orchestration for Private Data by Zarreen Naowal Reza, AI Research Scientist @ Volta ChargingTalk 3: Keeping Sensitive Data Safe Using Recommendation Systems by Liron Faybish, Data Scientist @ Paypal Talk 3 is open for early bird ticket holder and will be available online after the event.<h2>Day 2 - March 25th, 2022 (Friday)</h2>Agenda<ul><li>9:00 - 9:30: Open speech &amp; speed networking</li><li>9:30 - 11:40: 2 talks on Topic 4-1</li><li>11:50 - 12:50: 1 hands-on workshop </li><li>12:50 - 1:20: Break</li><li>1:20 - 3:10: 2 talks on Topic 4-2</li><li>3:10 - 3:35: 2022 WiDS Datathon local winner announcement and presentation</li><li>3:35 - 4:05: Closing speech &amp; speed networking</li></ul>Time: 9:00 AM - 4:30 PM Pacific TimeOn this day, we will focus on the topic of Data Science Ecosystem:Topic 4-1: Machine Learning Operations (MLOps)Deploy and maintain machine learning models in production reliably and efficiently.Talk 1: Introduction to Vertex AI by Usha Rengaraju, Principal Data Scientist @ Infinite Sum ModelingTalk 2: Machine Learning Best Practices to build a secure and compliant MLOps platform by Sai Sharanya Nalla, Senior Data Scientist @ NikeHands-on Workshop: Create an End-to-end pipeline with CloudFormation (Lab 0) by Rachel Hu, Applied Scientist @ Amazon MLU, AWS[Requirement]: Before the workshop, please make sure to setup an AWS account and follow the Lab Instructions section listed here: <a href="https://github.com/goldmermaid/MLU-MLOps-Lab" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://github.com/goldmermaid/MLU-MLOps-Lab</a>Topic 4-2: Managing sustainable data science teamHow to create, maintain and grow a data science team in a company? What are the key roles and how to build it sustainably? Talk 1: How to structure an effective data and analytics team by Florina Halasan, Data Analytics Director @ Electronic ArtsTalk 2: Building a sustainable data science team by Banu Nagasundaram, Senior Product Manager Technical @ AWS<h3></h3><h3>ABOUT WOMEN IN DATA SCIENCE</h3>The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. WiDS started as a one-day technical conference at Stanford in November 2015. Five years later, WiDS is a global movement that includes a number of worldwide initiatives. Learn more about WiDS initiative <a href="https://www.widsconference.org/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a>.<h3>WOMEN IN DATA SCIENCE VANCOUVER</h3><a href="https://www.linkedin.com/company/wids-vancouver" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">WiDS Vancouver</a> is an independent event organized by <a href="https://datacan.network/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">DataCan</a> as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 150+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.<h3>REFUND POLICY</h3>We will issue full refunds up to 7 days before the event.If you have any questions, please reach out to us at widsvancouver@gmail.com.<h3>DISCOUNT CODE</h3> For a student discount code, please send a picture of your student ID with the expiration date to widsvancouver@gmail.com to access the discount code.

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2022 Vancouver Women in Data Science Conference

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