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John Fee Email & Phone Number
Analytics Specialist at AFS
at
Accenture Federal Services
1 work email found
@guidehouse.se
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Analytics Specialist at AFS
Location
Alexandria, Virginia, United States
Company size
Who is John Fee? Overview
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Quick answer
John Fee is listed as Analytics Specialist at AFS at Accenture Federal Services, a company with 9599 employees, based in Alexandria, Virginia, United States. AeroLeads shows a work email signal at guidehouse.se and a matched LinkedIn profile for John Fee.
John Fee previously worked as Analytics Specialist at Accenture Federal Services and Statistician - Senior Consultant at Guidehouse. John Fee holds M.S., Statistics from The George Washington University.
Company email context
Email format at Accenture Federal Services
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{first}.{last}@guidehouse.se
86% confidence
AeroLeads found 1 current-domain work email signal for John Fee. Compare company email patterns before reaching out.
Profile bio
About John Fee
Hello! I'm an early career statistician currently working in federal consulting!I would love to connect with other statistics/machine learning adjacent people - feel free to send me a connection request and chat!
Listed skills include Statistics, Python, Data Cleaning, Machine Learning, and 3 others.
Current workplace
John Fee's current company
Company context helps verify the profile and gives searchers a useful next step.
Accenture Federal Services
6 roles
John Fee work experience
A career timeline built from the work history available for this profile.
Analytics Specialist
CurrentI currently support federal clients in the cyber security space!
Jan 2024 - Present
Statistician - Senior Consultant
I built data pipelines and dashboard/visualization products for federal clients in the cybersecurity space. Sometimes I even answered questions that required statistical modeling!
Feb 2022 - Dec 2023
Data & Analytics Modeler - Associate
Worked as a management consultant on engagements with commercial and federal clients. Some of my work includes improving financial model documentation for a large bank, analyzing KPMG's internal employee performance data to identify valuable skills, developing a COVID economic impact model, and maintaining predictive models for the accounts receivable of a.
Feb 2019 - Jan 2021
Data Analyst
Worked as a general-purpose statistical consultant for the U.S. 2018 election cycle. Analyzed the impact of a digital ad campaign, build data pipelines to clean voting data, and generated probabilistic election forecasts for the Michigan state senate and house elections.
Aug 2018 - Dec 2018
Data Science Intern
Improved data pipelines to process political donor records, and provided guidance on the construction of predictive models for political donor behavior.
Aug 2018 - Oct 2018
2 education records
John Fee education
M.S., Statistics
The George Washington University
Bachelor'S Degree, Statistics
North Carolina State University
FAQ
Frequently asked questions about John Fee
Quick answers generated from the profile data available on this page.
What company does John Fee work for?
John Fee works for Accenture Federal Services.
What is John Fee's role at Accenture Federal Services?
John Fee is listed as Analytics Specialist at AFS at Accenture Federal Services.
What is John Fee's email address?
AeroLeads has found 1 work email signal at @guidehouse.se for John Fee at Accenture Federal Services.
Where is John Fee based?
John Fee is based in Alexandria, Virginia, United States while working with Accenture Federal Services.
What companies has John Fee worked for?
John Fee has worked for Accenture Federal Services, Guidehouse, Kpmg Us, Lincoln Park Strategies, and Calltime.Ai.
How can I contact John Fee?
You can use AeroLeads to view verified contact signals for John Fee at Accenture Federal Services, including work email, phone, and LinkedIn data when available.
What schools did John Fee attend?
John Fee holds M.S., Statistics from The George Washington University.
What skills is John Fee known for?
John Fee is listed with skills including Statistics, Python, Data Cleaning, Machine Learning, Mathematical Modeling, R, and Optimization.
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