Daniel Breen Email & Phone Number | At Amazon, I maintain a complex fraud detection system spanning engineering, science, analytics, and business teams to quickly stop fraudsters as they constantly shift their attacks to find vulnerabilities in our system. My daily work involves working with many different people and tasks, developing SOPs, constantly writing documentation, and managing hundreds of rules, variables, and monitors. I pull data at scale using large clusters, develop code packages, write scientific papers, and innovate across many different areas of ML including NLP, graph ML, gradient boosted tree algorithms, and neural networks.

Daniel Breen

At Amazon, I maintain a complex fraud detection system spanning engineering, science, analytics, and...
2005 Burton StreetApartment 26, San Diego, United States

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Daniel Breen’s Email danielbreen@amazon.com

Daniel Breen’s Phone Numbers +1 646-520-****

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Daniel Breen’s Location 2005 Burton StreetApartment 26, San Diego, United States

Daniel Breen’s Current Industry Amazon

Daniel Breen’s Prior Industry Electrifai | Uc San Diego

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Work Experience

Amazon

Applied Scientist II

2021-09-01 00:00:00 - Present

Electrifai

Data Scientist

2017-08-01 00:00:00 - 2021-09-01 00:00:00

Uc San Diego

Graduate Research Assistant

2014-08-01 00:00:00 - 2017-06-01 00:00:00

Skills

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Languages

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FAQ About Daniel Breen

Daniel Breen is located at
2005 Burton StreetApartment 26, San Diego, United States

Daniel Breen is a At Amazon, I maintain a complex fraud detection system spanning engineering, science, analytics, and business teams to quickly stop fraudsters as they constantly shift their attacks to find vulnerabilities in our system. My daily work involves working with many different people and tasks, developing SOPs, constantly writing documentation, and managing hundreds of rules, variables, and monitors. I pull data at scale using large clusters, develop code packages, write scientific papers, and innovate across many different areas of ML including NLP, graph ML, gradient boosted tree algorithms, and neural networks.