Eve Pardi

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Copenhagen, Capital Region, Denmark

Predicting earthquake damages with Azure ML Workspace

In April, 2015 there was an earthquake with 7.8 magnitude, and an epicenter in the Ghorka District of Nepal. The disaster injured more than 30000 people, which was in most cases caused by the collapsed buildings in the earthquake.

During the demo-oriented session you receive hands-on knowledge about Microsoft Azure Machine Learning Workspace. You will be able to use the same platform to examine your dataset, to build your own predictive model, to improve it for better results and to deploy the model.

The data we use for the demo can be used to mitigate which buildings might need strengthening, so not only many buildings, but also thousands of lives could be saved in case of another earthquake.


Eve Pardi

Microsoft AI MVP

Eva is a skilled Software Developer and Data Scientist.

Eva has been working close to Microsoft since her first years of university, as a Microsoft Student Partner first, and now as a Microsoft Most Valuable Professional. She has worked with Azure Infrastructure (Azure AD, Datacenters, etc.), then Mobile and Web development, and today she has expanded her focus with Data Science and the Machine Learning (ML)/AI services provided by Microsoft.

She’s a familiar face as speaker at conferences, meetups and other community events, sharing her passion for AI and how it can be used to improve life quality around the world. Board member of Global AI Community and AI42.

Eva also writes articles about her projects and researches and is mentoring and supporting people who would like to start in the field of Data Science and AI.

Eve's full speaker profile