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Women in Data Science: Careers and Opportunities - GA:P Event Series

3:00pm sharp to 4:00pm EDT livesteam

Event Details

Speaker Series | Panel Discussion

Date: Thursday May 20, 2021 | 03:00 PM - 04:00 PM
Speaker(s): Meghan Chayka, Co-Founder & Co-CEO Stathletes

Jane Ho, AVP, Data & Analytics, Innovation, Technology and Shared Services Group, TD Bank

Caitlin MacGregor, CEO and Co-Founder of Plum

Elizabeth Richards, Senior Policy Officer, Results and Delivery Unit, Privy Council Office

Moderator: Susanna Tai, Senior Product Manager, Watson Data & AI Platform, IBM Software Group
Topic: Women in Data Science: Careers and Opportunities

On May 13, Rotman Events will email registrants the link to the page where you can watch the livestream.

Location: Online
Cost: Free to attend. Please register by 12:00 pm on May 20th.
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Session Synopsis: Could your next career move be in data science? Join our panel discussion to hear about career opportunities in this rapidly growing field.

About our speakers:

Meghan Chayka is a Co-Founder/co-CEO of Stathletes, a hockey data and analytics company. Stathletes provides industry leading hockey insights in over 22 leagues worldwide and has scaled to the highest professional levels across North America and Europe. In another industry role, Meghan is a Data Scientist in Residence at the Rotman School of Management at the University of Toronto. In 2019, she was featured on the insert cover of the Hockey News’ Top 100 of power and Influence, listed at 95 overall and in the Top 10 for Hockey Business Executives. Meghan and Stathletes have also been awarded Top Young Entrepreneur of the Year for 2018/2019 by the Ontario Chamber of Commerce and Top 40 under 40 in hockey for the Athletic in 2019 & 2020. She is active in Canadian consulate international events and was the keynote speaker in multiple women in technology conferences in the EU.

Jane Ho leads a Data & Analytics team at TD's Innovation, Technology and Shared Services (ITSS) group. She has been with TD for five years and has led Analytics teams for customer facing contact centre and collections businesses. Prior to TD, Jane held increasingly senior roles in Marketing and Analytics in Telecommunications, Retail and Insurance. Jane is the Co-Chair of Women in Data & Analytics at TD, and is also President of the Queen's University Smith Analytics & AI Alumni Club.

Caitlin MacGregor has always been passionate about identifying people's potential. That's why, after building two businesses for other people, she founded Plum. Plum quantifies human potential through the power of Industrial/Organizational Psychology and AI, creating agile enterprises and successful employees by matching people to jobs where they thrive. Caitlin is particularly passionate about supporting women to reach their full potential; she's a regular speaker at women entrepreneur events and a champion of #movethedial, an initiative dedicated to increasing the leadership of women in tech. Caitlin was selected by Springboard Enterprises NYC as one of the top 10 businesses led by women. 

Elizabeth Richards is theSenior Policy Officer, Results and Delivery Unit, Privy Council Office. Elizabeth currently supports the Prime Minister and Cabinet in achieving progress on top government priorities to build a more inclusive Canada and cultivate a strong data culture across the public service. Early in the pandemic, Elizabeth played a leadership role in advancing data on COVID-19 business programs, ensuring that decision-makers could identify the types of firms in need of federal supportꟷdata that made analysis on policy gaps and how to evolve programs in real time possible.  

Susanna Tai is a Senior Product Manager in IBM’s Data and AI organization, responsible for driving the product direction of IBM Watson Knowledge Catalog, which provides industry-leading capabilities in data and AI governance, metadata management, and data quality. She is passionate about technology innovation, especially in the transformative power of AI and machine learning to provide intelligent insights and predictions. She has worked with many customers across the globe to build a solid data and governance foundation to help them accelerate on their digital transformation journey to infuse data science, AI, and self-service analytics in their organizations. 

The Gender Analytics: Possibilities (GA:P) Event Series is 
an exciting multi-session online series. This unique online experience will highlight how emerging areas of analytics applied to issues around diversity and gender shape risks and opportunities for many organizations, operations and outcomes. Experts in data analytics, gender, and diversity, and inclusion more broadly will share their research and insights to an audience of business, academic, and government leaders. 

The GA:P Event Series is being planned jointly by two Rotman research centers, the Institute for Gender and the Economy (GATE) and TD Management Data and Analytics Lab co-organized by Susan Christoffersen (Co-Academic Director, TD MDAL), Sarah Kaplan (Director, GATE) and Matt Mitchell (Co-Academic Director, TD MDAL). 


Co-Hosted by:


Questions:, Daniel Ellul

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