Diane Napolitano

Senior Data Scientist (applied ML Scientist), Elections Insights And Personalization at The Washington Post

Diane Napolitano is a seasoned data scientist currently serving as a Senior Data Scientist (Applied ML Scientist) at The Washington Post, specializing in election insights and personalization. In this role, Diane leads initiatives on the Post Pulse team, developing predictive models for election outcomes, and on the Personalization team, focusing on content recommendations. Prior to this, Diane was a Data Science Manager at The Associated Press, where improvements were made to search and elections tabulation platforms through advanced modeling techniques. Diane's experience also includes positions at Refinitiv as a News Content and Metadata Product Manager, as well as roles in research programming, quality assurance, and natural language processing across various institutions. Diane holds an MS in Computer Science from Stony Brook University and a BS in Computer Science from Binghamton University.

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The Washington Post

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The Washington Post is a major American daily newspaper published in Washington, DC, with a particular emphasis on national politics and the federal government.


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