Brandy Freitas - Team Roles in a Machine Learning Project and Project Flow

Published: 16 August 2023
on channel: Toronto Machine Learning Series (TMLS)

Speaker Bio -
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.

Talk Bio -
Data science is an approachable field given the right framing. Often, though, practitioners and executives are describing opportunities using completely different languages. Brandy Freitas walks you through developing context around data science projects, roles and skills associated, and the vocabulary and practices needed to help build a culture of data within your organization. She will also cover different machine learning techniques, and where they are most appropriately leveraged.

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