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David Kes Email & Phone Number

Data @ Kaiser Permanente | ex-meta at Kaiser Permanente
Location: Sacramento, California, United States 9 work roles 2 schools
1 work email found @fb.com 1 phone found area 626 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email d****@fb.com
Direct phone (626) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data @ Kaiser Permanente | ex-meta
Location
Sacramento, California, United States

Who is David Kes? Overview

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Quick answer

David Kes is listed as Data @ Kaiser Permanente | ex-meta at Kaiser Permanente, based in Sacramento, California, United States. AeroLeads shows a work email signal at fb.com, phone signal with area code 626, and a matched LinkedIn profile for David Kes.

David Kes previously worked as IT Consultant at Kaiser Permanente and Data Engineer at Meta. David Kes holds Master'S Degree, Data Science from University Of San Francisco.

Company email context

Email format at Kaiser Permanente

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{first}{last}@fb.com
86% confidence

AeroLeads found 1 current-domain work email signal for David Kes. Compare company email patterns before reaching out.

Profile bio

About David Kes

David Kes is a Data @ Kaiser Permanente | ex-meta at Kaiser Permanente. He possess expertise in python, r, statistics, sql, linear regression and 36 more skills. Colleagues describe him as "I had the great pleasure of working with David on a facial recognition application. David worked on the machine learning pipeline of the project and delivered it ahead of schedule. His leadership and thoughtfulness led to the success of the project's outcome. He carefully thought about every detail and went out of his way to learn new tools to make sure the product would work seamlessly. I was consistently surprised at how easily he was able to digest and apply everything needed to see our project to completion. He is highly intelligent, works hard, and is a great person to be around. I highly recommend David to any organization."

Listed skills include Python, R, Statistics, Sql, and 37 others.

Current workplace

David Kes's current company

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Kaiser Permanente
Kaiser Permanente
Data @ Kaiser Permanente | ex-meta
AeroLeads page
9 roles

David Kes work experience

A career timeline built from the work history available for this profile.

Data Engineer

Menlo Park, CA, US

Jan 2022 - Jun 2023

Co-Founder

Inspireai
Jul 2019 - Aug 2021

Technical Support Analyst

Meudon, FR

Jan 2017 - Oct 2018

Data Scientist Intern

San Francisco, California, US

Oct 2017 - Jun 2018
2 education records

David Kes education

Master'S Degree, Data Science

University Of San Francisco

Bachelor’S Degree, Applied Mathematics, Physics

California State University, Long Beach
FAQ

Frequently asked questions about David Kes

Quick answers generated from the profile data available on this page.

What company does David Kes work for?

David Kes works for Kaiser Permanente.

What is David Kes's role at Kaiser Permanente?

David Kes is listed as Data @ Kaiser Permanente | ex-meta at Kaiser Permanente.

What is David Kes's email address?

AeroLeads has found 1 work email signal at @fb.com for David Kes at Kaiser Permanente.

What is David Kes's phone number?

AeroLeads has found 1 phone signal(s) with area code 626 for David Kes at Kaiser Permanente.

Where is David Kes based?

David Kes is based in Sacramento, California, United States while working with Kaiser Permanente.

What companies has David Kes worked for?

David Kes has worked for Kaiser Permanente, Meta, Inspireai, Gemalto, and Swiftly, Inc..

How can I contact David Kes?

You can use AeroLeads to view verified contact signals for David Kes at Kaiser Permanente, including work email, phone, and LinkedIn data when available.

What schools did David Kes attend?

David Kes holds Master'S Degree, Data Science from University Of San Francisco.

What skills is David Kes known for?

David Kes is listed with skills including Python, R, Statistics, Sql, Linear Regression, Data Analysis, Machine Learning, and Mathematics.

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