AeroLeads people directory · profile

Peter W. Email & Phone Number

Machine Learning Engineer at HubSpot
Location: South San Francisco, California, United States 7 work roles 2 schools
1 work email found @coinbase.com 3 phones found area 415 and 205 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email p****@coinbase.com
Direct phone (415) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Machine Learning Engineer
Location
South San Francisco, California, United States
Company size

Who is Peter W.? Overview

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Quick answer

Peter W. is listed as Machine Learning Engineer at HubSpot, a company with 51 employees, based in South San Francisco, California, United States. AeroLeads shows a work email signal at coinbase.com, phone signal with area code 415, 205, and a matched LinkedIn profile for Peter W..

Peter W. previously worked as Machine Learning Engineer at Plaid and Staff machine learning engineer at Coinbase. Peter W. holds Bs, Mechanical Engineering from Uc San Diego.

Company email context

Email format at HubSpot

This section adds company-level context without repeating Peter W.'s masked contact details.

*@coinbase.com
68% confidence

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

Profile bio

About Peter W.

Peter W. is a Machine Learning Engineer at HubSpot. He possess expertise in data science, python, machine learning, sql, statistics and 20 more skills.

Listed skills include Data Science, Python, Machine Learning, Sql, and 21 others.

Current workplace

Peter W.'s current company

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

HubSpot
Hubspot
Machine Learning Engineer
South San Francisco, CA, US
Website
Employees
51
AeroLeads page
7 roles · 10 years

Peter W. work experience

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

Machine Learning Engineer

South San Francisco, CA, US

Machine Learning Engineer

Current

San Francisco, California, US

May 2024 - Present

Staff Machine Learning Engineer

Remote First, US

Apr 2023 - Mar 2024

Senior Machine Learning Engineer

Remote First, US

Mar 2020 - Apr 2023

Senior Data Scientist

San Francisco, California, US

2019 - 2020 ~1 yr

Data Scientist

Birmingham, AL, US

2017 - 2019 ~2 yrs

Data Science Fellow

Boulder, Colorado, US

2016 - 2016
Team & coworkers

Colleagues at HubSpot

Other employees you can reach at plaid.com. View company contacts for 51 employees →

2 education records

Peter W. education

Bs, Mechanical Engineering

Uc San Diego

Ms, Mechanical Engineering (Fluid Mechanics)

Uc San Diego
FAQ

Frequently asked questions about Peter W.

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

What company does Peter W. work for?

Peter W. works for HubSpot.

What is Peter W.'s role at HubSpot?

Peter W. is listed as Machine Learning Engineer at HubSpot.

What is Peter W.'s email address?

AeroLeads has found 1 work email signal at @coinbase.com for Peter W. at HubSpot.

What is Peter W.'s phone number?

AeroLeads has found 3 phone signal(s) with area code 415, 205 for Peter W. at HubSpot.

Where is Peter W. based?

Peter W. is based in South San Francisco, California, United States while working with HubSpot.

What companies has Peter W. worked for?

Peter W. has worked for Hubspot, Plaid, Coinbase, Castlight Health, and Shipt.

Who are Peter W.'s colleagues at HubSpot?

Peter W.'s colleagues at HubSpot include Sangeetha Ramamurthy, Jason Xue, Tom Sullivan, Oliver Hawkes, and Sam Warburg.

How can I contact Peter W.?

You can use AeroLeads to view verified contact signals for Peter W. at HubSpot, including work email, phone, and LinkedIn data when available.

What schools did Peter W. attend?

Peter W. holds Bs, Mechanical Engineering from Uc San Diego.

What skills is Peter W. known for?

Peter W. is listed with skills including Data Science, Python, Machine Learning, Sql, Statistics, Postgresql, Web Scraping, and Mechanical Engineering.

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