Data science has the power to change the world around us, drive businesses forward, and answer some of the most pressing questions in modern research. Often, however, we miss the mark on fully integrating data science into organizations due to misunderstanding, miscommunication, and misconception of what data science can actually do.
To bring data science into the forefront of our business strategies effectively, we all need to be speaking the same language. Because there must be participation and input from all sources, from the C-suite to the analyst, we cannot continue to obfuscate through complicated tech talk, nor should we boil down elegant solutions so that they barely resemble what they actually are. Finding a common ground is critical in moving data science forward in all industries.
Join Brandy Freitas to develop context and vocabulary around data science topics—a Rosetta Stone of sorts to enable managers and executives to confidently and informatively speak with their data scientists and analysts and, equally importantly, allow data scientists to speak with their less technical colleagues, helping build a culture of data within your organization.
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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, Massachusetts. 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.
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Can you please upload the slides? Thanks!
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