Sep 23–26, 2019
Brandy Freitas

Brandy Freitas
Principal Data Scientist, Pitney Bowes

Brandy Freitas is a principal data scientist at Pitney Bowes, where she works with clients in a wide variety of industries to develop analytical solutions for their business needs. Brandy is a research physicist-turned-data scientist based in Boston, MA. Her academic research focused primarily on protein structure determination, applying machine learning techniques to single-particle cryoelectron microscopy data. Brandy is a National Science Foundation Graduate Research Fellow and a James Mills Pierce Fellow. She holds an undergraduate degree in physics and chemistry from the Rochester Institute of Technology and did her graduate work in biophysics at Harvard University.


4:35pm5:15pm Thursday, September 26, 2019
Location: 1A 12
Secondary topics:  Transportation and Logistics
Brandy Freitas (Pitney Bowes)
In this session, Brandy Freitas from Pitney Bowes will cover the interplay between graph analytics and machine learning, improved feature engineering with graph native algorithms, and harnessing the power of graph structure for machine learning through node embedding. Read more.

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