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Derek Lin Email & Phone Number

Chief Data Scientist at Exabeam
Location: San Mateo, California, United States 1 work role
1 work email found @exabeam.com 11 phones found area 650, 818, 626, 978, 781, 617, and 844 LinkedIn matched
4 data sources Profile completeness 86%

Contact Signals · 1 work email · 11 phones

Work email d****@exabeam.com
Direct phone (650) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Chief Data Scientist
Location
San Mateo, California, United States
Company size

Who is Derek Lin? Overview

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Quick answer

Derek Lin is listed as Chief Data Scientist at Exabeam, a company with 910 employees, based in San Mateo, California, United States. AeroLeads shows a work email signal at exabeam.com, phone signal with area code 650, 818, 626, 978, 781, 617, 844, and a matched LinkedIn profile for Derek Lin.

Company email context

Email format at Exabeam

This section adds company-level context without repeating Derek Lin's masked contact details.

{first}@exabeam.com
89% confidence

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

Profile bio

About Derek Lin

Derek Lin is a Chief Data Scientist at Exabeam. He possess expertise in machine learning, data mining, big data, analytics, security and 19 more skills. Colleagues describe him as "Derek has lead his data science team to work on several data science engagements in Visa. In the past 2 years, his team has consistently delivered satisfying results within usually tight time schedules. He is a proven leader and a great pleasure to work with. His ability to quickly comprehend customer requirements and his meticulous focus on every details throughout the data science models are truly impressive." and "I joined Derek's team in April 2013 and have worked with him for almost 2 years on several data science projects for customers in the areas of fraud detection, IT security and operations. He is a visionary leader with deep and broad technical expertise in IT security and data science. He encourages collaborative problem solving in the team and is willing to listen to every team member sincerely. He is a genuine person and is a pleasure to work with. I am fortunate to have worked in… Show more"

Listed skills include Machine Learning, Data Mining, Big Data, Analytics, and 20 others.

Current workplace

Derek Lin's current company

Company context helps verify the profile and gives searchers a useful next step.

Exabeam
Exabeam
Chief Data Scientist
San Mateo, CA, US
Website
Employees
910
AeroLeads page
1 role

Derek Lin work experience

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

  • Exabeam
    Chief Data Scientist
    San Mateo, Ca, Us
Team & coworkers

Colleagues at Exabeam

Other employees you can reach at exabeam.com. View company contacts for 910 employees →

FAQ

Frequently asked questions about Derek Lin

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

What company does Derek Lin work for?

Derek Lin works for Exabeam.

What is Derek Lin's role at Exabeam?

Derek Lin is listed as Chief Data Scientist at Exabeam.

What is Derek Lin's email address?

AeroLeads has found 1 work email signal at @exabeam.com for Derek Lin at Exabeam.

What is Derek Lin's phone number?

AeroLeads has found 11 phone signal(s) with area code 650, 818, 626, 978, 781, 617, 844 for Derek Lin at Exabeam.

Where is Derek Lin based?

Derek Lin is based in San Mateo, California, United States while working with Exabeam.

What companies has Derek Lin worked for?

Derek Lin has worked for Exabeam.

Who are Derek Lin's colleagues at Exabeam?

Derek Lin's colleagues at Exabeam include Mark Brown, Christina Kelly, Suyog Bhokare, Tim Hildebrand, and Ronald N..

How can I contact Derek Lin?

You can use AeroLeads to view verified contact signals for Derek Lin at Exabeam, including work email, phone, and LinkedIn data when available.

What skills is Derek Lin known for?

Derek Lin is listed with skills including Machine Learning, Data Mining, Big Data, Analytics, Security, Enterprise Software, Pattern Recognition, and Data Science.

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