Sep 23–26, 2019
Shannon Kalisky
Lead Product Manager, Analytics and Data Science, Esri
Shannon Kalisky is the lead product manager for analytics and data science at Esri, where she works with development and engineering teams to bring spatial data science mainstream. She started her career in geographic information system (GIS) where she worked for a variety of organizations ranging from government to Fortune 500 companies, leveraging spatial data to uncover patterns and build predictive models with a combination of GIS and Python. Her undergraduate studies were in geography and her graduate education was in community and regional planning. She’s pursuing her MBA in global business. When she’s not working behind a computer, you’re most likely to find Shannon with her hands dirty in a garden or at the local hardware store gathering supplies for her next project.
Sessions
2:55pm–3:35pm Wednesday, September 25, 2019
Location: 1E 06
Shannon Kalisky (Esri),
Alberto Nieto (Esri)
Digital location data is a crucial part of data science. The "where" matters as much to an analysis as the "what" and the "why." Shannon Kalisky and Alberto Nieto explore tools that help you apply a range of geospatial techniques in your data science workflows to get deeper insights.
Read more.
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