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Hulya Emir-Farinas

Hulya Emir-Farinas
Data Scientist, Pivotal

Hulya Farinas has extensive experience applying algorithmic approaches to complex problems in multiple verticals. Before joining Pivotal, she had held positions at IBM and M-Factor where she helped her customers make optimal business decisions under uncertainty by marrying machine learning algorithms with optimization routines. She is currently a senior principal data scientist at Pivotal where she is the lead for healthcare vertical. She holds a Ph.D. in Operations Research from the University of Florida.

Sessions

John Mattison (Kaiser Permanente, SCAL), Hulya Emir-Farinas (Pivotal)
Average rating: ****.
(4.50, 2 ratings)
Public datasets can be used to enrich proprietary data and obtain more robust predictive models. However, public data, especially user-generated content, is notoriously messy. In this talk, using the FDA’s Adverse Event Reporting System (AERS), we will explain how to cleanse data and mash it up with other data sources for insight. Read more.

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