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Redefining Identities in Data Analytics

Redefining Identities in Data Analytics

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The way we analyze data is culturally outdated. How do we update our technologies to meet a growingly diverse population? Join Niyoosha Ahmadikhoo for a discussion on how we can modernize our processes to stay relevant in the changing times.

You asked, she’s answering:

  • What data needs redefining? 
  • In which industries is this especially relevant? 
  • How can you structure your data so it stays relevant 5, 10 years down the line?
  • & More!


MEET THE SPEAKER:

Niyoosha Ahmadikhoo identifies as a multipotentialite; she is a data analyst, an engineer, a performer, and a theatre instructor. Through her research as a graduate student in the department of Performance Studies at NYU Tisch School of the Arts, she focused on the complexity of politicized identity, particularly gender, race, nationality, and religion. She is interested in bridging the gap between scholarly developments in academic humanities and the data industry. You can reach out to her at nak392@nyu.edu.

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