Women in Data Science Toronto @ Women in Big Data Toronto

At Women in Big Data Toronto, we strive to connect like-minded data professionals in a welcoming and engaging environment. Our goal is to grow, elevate and nurture female talent in the big data and analytics space through knowledge-sharing and community participation. While our core effort is to strengthen diversity in the big data field, Women in Big Data Toronto’s mandate is all encompassing and doesn’t discriminate against any gender identification. Women in Big Data Toronto is the first Canadian chapter of the U.S. basedWomen in Big Data Forum.

Women in Big Data Toronto

EVENT DESCRIPTIONThe Toronto chapter of Women in Big Data is proud to collaborate with the<a href="https://www.widsconference.org/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"> Women in Data Science</a> to bring you this exciting event! Join us for a combination of technical and career presentations from two excellent data science practitioners.Talk #1: Insights of climate changes from the Common Era: An artificial intelligence viewIn this talk, <a href="https://www.linkedin.com/in/jianghao-wang-896aa1a4/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Jianghao Wang</a> (Data Scientist, Mathworks) will demonstrate how climate scientists use statistical and artificial intelligence (AI) techniques to study global temperature changes of the Common Era (the past 2,000 years). The studies shed light on the evidence of anthropogenic global warming during the twentieth century.Talk #2: From data scientist to AI product managementIn this talk, <a href="https://ca.linkedin.com/in/mehrsa-golestaneh-9638a759" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Mehrsa Golestaneh</a> (Senior Product Manager, Microsoft) will share her career journey from data science to AI product management, and how her data science background is helping her to be a more effective product manager. Throughout this talk, Mehrsa will explore some of the key roles and responsibilities of an AI product manager, alongside best practices that help drive an AI product from zero to launch.AGENDA<ul><li>Intro (WiDS Conference &amp; WiBD Toronto) [5:30-5:45]</li><li>1st presentation + Q&amp;A [5:45-6:15</li><li>2nd presentation + Q&amp;A [6:15-6:45]</li><li>Virtual networking event on Kumospace, depending on interest [6:45-]</li></ul>SPEAKERSJianghao Wang is a Data Scientist at MathWorks. She is passionate about bridging gaps between statistics, Artificial Intelligence (AI), and climate science. Prior to MathWorks, Jianghao completed her PhD in Statistical Climatology from the University of Southern California and BS in Applied Math from Nankai University.Mehrsa Golestaneh is currently an AI Product Manager at Microsoft in the Intelligent Communications and Conversations Cloud (IC3), working on machine learning solutions that improve call quality. She holds a MSc in Computer Science from Western University, and she is very passionate about designing and building impactful AI/ML products. Prior to joining Microsoft, Mehrsa was a product manager at Borealis AI. Before switching to AI product management, she held various data scientist positions at companies such as League Inc. and ThinkData Works, building innovative data science solutions.ABOUTWiDS Toronto is an independent event that is organized by the Toronto Chapter of Women in Big Data to coincide with the annual WiDS Worldwide conference organized by Stanford University and an estimated 200+ locations worldwide. All genders are invited to attend WiDS regional events which feature outstanding women doing outstanding work.The WiDS Worldwide conference aims to inspire and educate data scientists worldwide,regardless of gender, and to support women in the field. This technical conference provides an opportunity to hear about the latest data science related research and applications in a number of domains, and connect with others in the field.

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Women in Data Science Toronto @ Women in Big Data Toronto

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Women in Data Science Toronto @ Women in Big Data Toronto

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