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2018-web/data/talks/A-9001.yaml
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| # Talk details are specified in YAML files | |
| # YAML was selected because we can use multi-line strings and add | |
| # comments in the file. | |
| speaker_name: "Solmaz Shahalizadeh" | |
| talk_title: "Keynote talk" | |
| # At least 1 tag is necessary!! | |
| talk_tags: | |
| - "keynote" | |
| talk_abstract: | | |
| Solmaz is the VP of Data Science and Engineering at Shopify leading the data organization. Her teams build the data platform and the machine learning solutions that power Shopify's internal and merchant facing data products including Shopify's real-time Order Fraud Analysis, Shopify Capital and Shopify Home. Her and her teams build majority of their data solutions using Python (and Spark) and she is a big fan of the Python community. With multiple graduate degrees in computer science and machine learning, prior to joining Shopify, she worked at Morgan Stanley as an analyst and at McGill university as a cancer researcher, applying machine learning techniques to predict breast cancer outcome. Solmaz has a passion for building high quality data products that delight users and solve real world problems. | |
| # Markdown formatting is supported for details | |
| talk_details: '' | |
| # Markdown is supported | |
| about_author: '' | |
| # web link will only show if about_author section is present | |
| author_website: '' |