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Ryan Saxe Email & Phone Number
Director, Global Data and Analytics — Head of Engineering
at
AB InBev
1 work email found
@anheuser-busch.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Director, Global Data and Analytics — Head of Engineering
Location
New York, New York, United States
Company size
Who is Ryan Saxe? Overview
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Quick answer
Ryan Saxe is listed as Director, Global Data and Analytics — Head of Engineering at AB InBev, a company with 55 employees, based in New York, New York, United States. AeroLeads shows a work email signal at anheuser-busch.com and a matched LinkedIn profile for Ryan Saxe.
Ryan Saxe previously worked as Director of Data & Analytics at Ab Inbev and Principal Machine Learning Engineer at Ab Inbev. Ryan Saxe holds Master'S Degree, Computer Science from New York University.
Company email context
Email format at AB InBev
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{first}.{last}@anheuser-busch.com
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AeroLeads found 1 current-domain work email signal for Ryan Saxe. Compare company email patterns before reaching out.
Profile bio
About Ryan Saxe
★ Machine Learning Engineer and Scientist with 10 years of experience working with big data and implementing AI algorithms to provide measurable and significant business value.★ Fluent in the art of translating math to english for communicating with stakeholders and vice versa. This enables leading teams of engineers to design systems that are not only state of the art, but transparent and in-line with business expectations.
Listed skills include Python, Web Development, Data Science, Web Design, and 28 others.
Current workplace
Ryan Saxe's current company
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Ab Inbev
15 roles
Ryan Saxe work experience
A career timeline built from the work history available for this profile.
Director Of Data & Analytics
CurrentHead of Commercial Science and Engineering for Global Analytics
Nov 2024 - Present
Principal Machine Learning Engineer
Technical Lead for multiple Global Commercial Machine Learning Applications.
Jan 2023 - Nov 2024
Senior Global Manager Of Data Science & Analytics
Managed a 10 person, cross-functional, team specializing in machine learning systems for marketing attribution and portfolio optimization.
Mar 2021 - Dec 2022
Senior Machine Learning Research Scientist
- Built a framework for training deep learning systems with economic priors, which was used to build models informing PepsiCo's marketing strategies and pricing agendas.
- Designed a multi-modal Graph Neural Network (GNN) model using Natural Language Processing (NLP) for discerning product similarity. This model is used in multiple projects, such as evaluating product cannibalization and.
- Devised a novel regularization method for improving model generalizability on sparse data.
Jul 2019 - Mar 2021
Technical Research Assistant
- Researched applications of Machine Vision for real-time risk assessment of the industrial athlete. Presented this research at Numerati’s InsurTech Expo.
- Completed an extensive literature review on state of the art Gait Recognition.
Sep 2017 - Jul 2019
Master'S Thesis
- Researched patient compliance in Physical Therapy and discerned the need for a tool capable of providing feedback on an exercise. - Collected skeletal data using OptiTrack consisting of joint and bone approximation from 41 markers. Extracted features such as jerk, symmetry, and angular climax from the joints for analysis. - Compared results of several.
Jun 2018 - Dec 2018
Research Project
- Worked on a diet optimization platform with Professor Dennis Shasha. Originally designing tools using machine vision, however that is no longer a focus of this platform. - Assisted the development off the flask application as well as the Django application.- Assisted the development of Linear Programming algorithm.- Maintained responsibility for the.
Jan 2017 - Jul 2017
Bioinformatics Research Assistant
Analyzed the Brain Entropy results of fMRI scans for three separate features: Intelligence, Personality, and PTSD. Study results poster in Nature’s Neuropsychopharmacology.
Jun 2016 - Jan 2017
Data And Machine Learning Intern
- Led the initiative to use Machine Learning in order to hierarchically categorize clothing.- Developed an ensemble of SVMs, one at each level of the categorical clothing tree. This yielded performance upward of 99%, improved from under 90%.- Created a data visualization tool to illustrate the color pallette present in a search query. - Assisted in.
Jul 2014 - May 2016
Research Project/Independent Study
I studied the mathematics and algorithms necessary for forecasting in nonlinear dynamical systems.
May 2015 - Aug 2015
Computer Science Tutor
I tutored students in the elementary Python class, Computer Science 101. Additionally, I was available to tutor and help students in other classes if they came to the tutoring hours. Examples of these other classes are Java 102, Web development, Data Structures, and intro to Data Science.
Jan 2015 - May 2015
Data Engineer Intern
Developed database infrastructure and API for user interaction using Django and SQL
Oct 2013 - Jun 2014
Data Science Intern
Nyu Center For Health And Bioinformatics
Apr 2013 - Jun 2013
Counselor In Training
Jun 2012 - Aug 2012
Team & coworkers
Colleagues at AB InBev
Other employees you can reach at pivaratrebjesa.com. View company contacts for 55 employees →
SV
Soni Vujovic
Colleague at Ab InbevMontenegro, Montenegro
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VM
Valentina Micunovic
Colleague at Ab InbevMontenegro, Montenegro
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NB
Nikola Batricevic
Colleague at Ab InbevMontenegro, Montenegro
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ID
Ivan Drašković
Colleague at Ab InbevPodgorica, Montenegro, Montenegro
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MJ
Mikan Jaukovic
Colleague at Ab InbevMontenegro, Montenegro
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IR
Ivana Rondović
Colleague at Ab InbevPodgorica, Montenegro, Montenegro
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MB
Milutin Blecic
Colleague at Ab InbevMontenegro, Montenegro
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IJ
Igor Jovanovic
Colleague at Ab InbevMontenegro, Montenegro
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FN
Filip Nikcevic
Colleague at Ab InbevMontenegro, Montenegro
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SP
Sinisa Pejovic
Colleague at Ab InbevMontenegro, Montenegro
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Soni Vujovic
Colleague at Ab InbevMontenegro, Montenegro
View →
VM
Valentina Micunovic
Colleague at Ab InbevMontenegro, Montenegro
View →
NB
Nikola Batricevic
Colleague at Ab InbevMontenegro, Montenegro
View →
ID
Ivan Drašković
Colleague at Ab InbevPodgorica, Montenegro, Montenegro
View →
MJ
Mikan Jaukovic
Colleague at Ab InbevMontenegro, Montenegro
View →
IR
Ivana Rondović
Colleague at Ab InbevPodgorica, Montenegro, Montenegro
View →
MB
Milutin Blecic
Colleague at Ab InbevMontenegro, Montenegro
View →
IJ
Igor Jovanovic
Colleague at Ab InbevMontenegro, Montenegro
View →
FN
Filip Nikcevic
Colleague at Ab InbevMontenegro, Montenegro
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SP
Sinisa Pejovic
Colleague at Ab InbevMontenegro, Montenegro
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2 education records
Ryan Saxe education
Master'S Degree, Computer Science
New York University
Bachelor Of Arts (B.A.), Mathematics
New York University
FAQ
Frequently asked questions about Ryan Saxe
Quick answers generated from the profile data available on this page.
What company does Ryan Saxe work for?
Ryan Saxe works for AB InBev.
What is Ryan Saxe's role at AB InBev?
Ryan Saxe is listed as Director, Global Data and Analytics — Head of Engineering at AB InBev.
What is Ryan Saxe's email address?
AeroLeads has found 1 work email signal at @anheuser-busch.com for Ryan Saxe at AB InBev.
Where is Ryan Saxe based?
Ryan Saxe is based in New York, New York, United States while working with AB InBev.
What companies has Ryan Saxe worked for?
Ryan Saxe has worked for Ab Inbev, Pepsico, Riskecon® Lab For Decision Metrics, Nyu Courant Institute, New York University, and Stylesage.
Who are Ryan Saxe's colleagues at AB InBev?
Ryan Saxe's colleagues at AB InBev include Soni Vujovic, Valentina Micunovic, Nikola Batricevic, Ivan Drašković, and Mikan Jaukovic.
How can I contact Ryan Saxe?
You can use AeroLeads to view verified contact signals for Ryan Saxe at AB InBev, including work email, phone, and LinkedIn data when available.
What schools did Ryan Saxe attend?
Ryan Saxe holds Master'S Degree, Computer Science from New York University.
What skills is Ryan Saxe known for?
Ryan Saxe is listed with skills including Python, Web Development, Data Science, Web Design, Css, Software Development, Software Engineering, and Html 5.
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