Daniel Breen Email & Phone Number
@amazon.com
2 phones found area 619
LinkedIn matched
Who is Daniel Breen? Overview
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Daniel Breen is listed as Machine Learning Scientist at Amazon, a company with 734811 employees, based in Irvine, California, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 619, and a matched LinkedIn profile for Daniel Breen.
Daniel Breen previously worked as Applied Scientist II at Amazon and Data Scientist at Electrifai. Daniel Breen holds Doctor Of Philosophy (Ph.D.), Physics from Uc San Diego.
Email format at Amazon
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AeroLeads found 1 current-domain work email signal for Daniel Breen. Compare company email patterns before reaching out.
About Daniel Breen
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.
Listed skills include Python, R, Sql, Statistics, and 20 others.
Daniel Breen's current company
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Daniel Breen work experience
A career timeline built from the work history available for this profile.
Applied Scientist Ii
Current- Main ML POC for Gift Card WW. In 2022, increased the Gift Card system automation rate by 50% keeping bad debt constant, and in 2023, made system enhancements resulting in net $3 MM annual bad debt reduction for Gift.
- Developed a low latency LLM solution to generate email fraud risk scores, resulting in $1 MM bad debt savings annually. Presented research presentation, providing strategic direction for the team.
- Onboarded a system utilizing coupled LSTM model leveraging customer browsing behavioral data, resulting in 10% incremental system automation.
- Developed an LLM solution based on data seen by fraud investigators with 5% incremental system automation.
- Onboarded new system data sources, including cobrand (CBCC/PLCC) CC signals, resulting in incremental annual GMS savings of $13.8 million and 780k annual bad debt savings.
- Developed an autogenerated report for measuring operational workload as measured by ticketing system metrics.
Data Scientist
- Designed a T5/Roberta based closed domain question answering pipeline extracting features from a corpus of contract text
- Developed an ML system to rank order medical school applicants for a large medical school, enabling rank ordering applicants and predicting 10% of the applicants who would likely fail to acquire a residency.
- Developed solr based search engine for a company database. Evaluated against ANN based approaches using txtai and implemented autosuggest functionality.
- Led a team of junior scientists to build an E-sports influencer recommender system. Developed data pipeline including web scrapers with Scrapy/Splash to asynchronously parse Twitter, Instagram, Social Blade, and Twitch.
Graduate Research Assistant
- Used and developed methods of parameter estimation in dynamical systems using analogies with the path integral in quantum mechanics. Learned about topics in nonlinear programming including ill conditioning, newton’s.
- Identified differences between diseased and healthy neurons consistent with clinical observations of Alzheimer’s patients using estimated parameters in dynamical models of neurons.
- Established a mapping between configurable and true parameter values on neuromorphic VLSI chip, leading to emulation of a biological neuron on VLSI hardware for the first time.
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts for 734811 employees →
Wakle Gautam
Colleague at Amazon
Pune, Maharashtra, India, India
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Navya Danthuluri
Colleague at Amazon
Hyderabad, Telangana, India, India
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BY
Bill Young
Colleague at Amazon
San Francisco Bay Area, United States
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Brandon Mckinley
Colleague at Amazon
North Las Vegas, Nevada, United States, United States
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MM
Mason Moody
Colleague at Amazon
Canton, Ohio, United States, United States
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YM
Yamini Mangalani
Colleague at Amazon
Hyderabad, Telangana, India, India
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IK
Irfan Khan
Colleague at Amazon
Hyderabad, Telangana, India, India
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AV
Alejandro Villamil
Colleague at Amazon
Villaluenga De LA Sagra, Castile-La Mancha, Spain, Spain
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CG
Chetan Gadri
Colleague at Amazon
Ajmer, Rajasthan, India, India
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JJ
Julia Jarzębowska
Colleague at Amazon
Gdańsk, Pomorskie, Poland, Poland
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Daniel Breen education
Doctor Of Philosophy (Ph.D.), Physics
Master’S Degree, Physics
Bachelor’S Degree, Physics
Frequently asked questions about Daniel Breen
Quick answers generated from the profile data available on this page.
What company does Daniel Breen work for?
Daniel Breen works for Amazon.
What is Daniel Breen's role at Amazon?
Daniel Breen is listed as Machine Learning Scientist at Amazon.
What is Daniel Breen's email address?
AeroLeads has found 1 work email signal at @amazon.com for Daniel Breen at Amazon.
What is Daniel Breen's phone number?
AeroLeads has found 2 phone signal(s) with area code 619 for Daniel Breen at Amazon.
Where is Daniel Breen based?
Daniel Breen is based in Irvine, California, United States while working with Amazon.
What companies has Daniel Breen worked for?
Daniel Breen has worked for Amazon, Electrifai, and Uc San Diego.
Who are Daniel Breen's colleagues at Amazon?
Daniel Breen's colleagues at Amazon include Wakle Gautam, Navya Danthuluri, Bill Young, Brandon Mckinley, and Mason Moody.
How can I contact Daniel Breen?
You can use AeroLeads to view verified contact signals for Daniel Breen at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Daniel Breen attend?
Daniel Breen holds Doctor Of Philosophy (Ph.D.), Physics from Uc San Diego.
What skills is Daniel Breen known for?
Daniel Breen is listed with skills including Python, R, Sql, Statistics, C++, Git, Data Analysis, and Physics.
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