Matthew Faenza Email & Phone Number
@google.com
3 phones found area 678 and 404
LinkedIn matched
Who is Matthew Faenza? Overview
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Matthew Faenza is listed as Co-Founder, Chief Data and AI Officer at Boom.Build, a with 4 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 678, 404, and a matched LinkedIn profile for Matthew Faenza.
Matthew Faenza previously worked as Machine Learning Engineer at Google and Quantitative Researcher at Masters Capital Management, Llc. Matthew Faenza holds Master Of Science (M.S.), Computer Science, Specialization In Machine Learning from Georgia Institute Of Technology.
Email format at Boom.Build
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AeroLeads found 2 current-domain work email signals for Matthew Faenza. Compare company email patterns before reaching out.
About Matthew Faenza
Experienced Machine Learning Engineer with a demonstrated history of working in the internet and quantitative finance industries. Strong engineering professional with a Master of Science (M.S.) in Computer Science, Specialization in Machine Learning from Georgia Institute of Technology.
Listed skills include Python, Computational Data Analysis, R, Machine Learning, and 10 others.
Matthew Faenza's current company
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Matthew Faenza work experience
A career timeline built from the work history available for this profile.
Machine Learning Engineer
Led work in deep learning, multi-task learning, & sequential modeling applications for YouTube recommendations and notifications. Significant work in ML infrastructure and ops (user interaction logging, training data generation, feature engineering, monitoring & alerting).
Quantitative Researcher
Data driven quantitative research of equities markets and market participants.
Quantitative Development Intern
Graduate Student Researcher
Co-Advisor: Dr. Irfan EssaCo-Advisor: Dr. Sebastian PokuttaApplied Machine Learning Research
Intern
Operations & Process Improvement: Worked with Mission Support Group to help define the interactions among various engineering procedures. Completed process analysis and collaborated with group members regarding ideas to improve efficiency.Inventory Management: Assisted Communications & Telemetry Department in improving their inventory system. Performed data analysis to optimize the inventory system in terms of cost and ease of use for technicians KSC IE Network: Consulted with other Industrial Engineers within NASA’s Kennedy Space Center on unique projects intended to improve the operations of the center as a whole.
Matthew Faenza education
Master Of Science (M.S.), Computer Science, Specialization In Machine Learning
Bachelor Of Science (B.S.), Industrial Engineering
Education record
Frequently asked questions about Matthew Faenza
Quick answers generated from the profile data available on this page.
What company does Matthew Faenza work for?
Matthew Faenza works for Boom.Build.
What is Matthew Faenza's role at Boom.Build?
Matthew Faenza is listed as Co-Founder, Chief Data and AI Officer at Boom.Build.
What is Matthew Faenza's email address?
AeroLeads has found 2 work email signals at @google.com for Matthew Faenza at Boom.Build.
What is Matthew Faenza's phone number?
AeroLeads has found 3 phone signal(s) with area code 678, 404 for Matthew Faenza at Boom.Build.
Where is Matthew Faenza based?
Matthew Faenza is based in San Francisco, California, United States while working with Boom.Build.
What companies has Matthew Faenza worked for?
Matthew Faenza has worked for Boom.Build, Google, Masters Capital Management, Llc, Georgia Institute Of Technology, and A.I. Solutions.
How can I contact Matthew Faenza?
You can use AeroLeads to view verified contact signals for Matthew Faenza at Boom.Build, including work email, phone, and LinkedIn data when available.
What schools did Matthew Faenza attend?
Matthew Faenza holds Master Of Science (M.S.), Computer Science, Specialization In Machine Learning from Georgia Institute Of Technology.
What skills is Matthew Faenza known for?
Matthew Faenza is listed with skills including Python, Computational Data Analysis, R, Machine Learning, Computational Finance, Linear Programming, Visual Basic, and Lean Six Sigma.
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