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Brian Spiering Email & Phone Number

Data Engineer Instructor at The Data Incubator
Location: San Francisco, California, United States 10 work roles 2 schools
1 work email found @newhaven.edu 8 phones found area 805, 218, and 415 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 8 phones

Work email b****@newhaven.edu
Direct phone (805) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Engineer Instructor
Location
San Francisco, California, United States

Who is Brian Spiering? Overview

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Quick answer

Brian Spiering is listed as Data Engineer Instructor at The Data Incubator, based in San Francisco, California, United States. AeroLeads shows a work email signal at newhaven.edu, phone signal with area code 805, 218, 415, and a matched LinkedIn profile for Brian Spiering.

Brian Spiering previously worked as Principal Consultant at Freelance and Data Science / Data Engineering Instructor at Metis. Brian Spiering holds Ph.D, Psychology; Cognition, Perception, & Cognitive Neuroscience from Uc Santa Barbara.

Company email context

Email format at The Data Incubator

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{first_initial}{last}@newhaven.edu
86% confidence

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

Profile bio

About Brian Spiering

My twin passions are data engineering and education.

Listed skills include Data Analysis, R, Python, Statistics, and 21 others.

Current workplace

Brian Spiering's current company

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

The Data Incubator
The Data Incubator
Data Engineer Instructor
San Francisco, CA, US
AeroLeads page
10 roles

Brian Spiering work experience

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

Principal Consultant

Freelance

Develop end-to-end solutions for businesses. For example, I architectured and implemented an automated system to source companies for VC funding.

Jan 2023 - Apr 2023

Data Science / Data Engineering Instructor

New York, Ny, Us

Instructed remote data science bootcamp, teaching data engineering (DE), machine learning (ML), and natural language processing (NLP). Developed curriculum for remote instruction. Created a new Business Analytics (BA) course.

Nov 2021 - Dec 2022

Lead Instructor, Machine Learning Engineer Program

Palo Alto, California, Us

Lead instructor for a single cohort of a remote bootcamp teaching machine learning engineering (MLE) and deep learning (DL).

Jul 2021 - Dec 2021

Principal Consultant

San Francisco, California, Us

Led a small team building solutions for companies. For example, I designed and implemented an end-to-end NLP system to identify novel trends in news articles to guide business strategy.

Jul 2021 - Dec 2021

Computer Science / Data Science Faculty

San Francisco, Ca, Us

Taught Computer Science and Computer Science courses in Natural Language Processing, Machine Learning, Artificial Intelligence, and Computer Programming. Mentored student internships with industry partners. Help students connect the dots between classroom knowledge and business use cases.Director of Peer-to-Peer Computer Science Tutoring Center (Spring 2018). Leveraged the power of peer instruction to scale learning.

Jan 2018 - Jun 2021

Startup Advisor

San Francisco, California, Us

Advised early-stage startups on data strategy, data infrastructure, and data products.

Jul 2018 - Aug 2019

Data Science Faculty At Galvanizeu

Boulder, Colorado, Us

Developed and delivered graduate-level Data Science curriculum. Specializing in Natural Language Processing (NLP), Big Data, Data Engineering (DE), Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI).• Supervised students’ project work with industry partners.• Won "Teacher of the Year" for 2017

Jun 2015 - Jan 2018

Data Scientist

Guaynabo, Pr, Us

As the first Data Scientist at LiveCareer (now BOLD), defined the vision for data science and built a team to realize that vision. Served as technical point person on data analysis, applied deep learning, search engineering, information retrieval, Big Data platform, and data-driven back-end services.Architected and programmed machine learning and natural language processing (NLP) pipelines for web-scale data. Applied Bayesian optimization and statistics to increase operational efficiencies of web products (e.g., A/B tests, AdWords bidding, and Go-To-Market strategy).

Aug 2014 - Jun 2015
2 education records

Brian Spiering education

Ph.D, Psychology; Cognition, Perception, & Cognitive Neuroscience

Uc Santa Barbara

B.A; High, Psychology; And Speech Communication

San Francisco State University
FAQ

Frequently asked questions about Brian Spiering

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

What company does Brian Spiering work for?

Brian Spiering works for The Data Incubator.

What is Brian Spiering's role at The Data Incubator?

Brian Spiering is listed as Data Engineer Instructor at The Data Incubator.

What is Brian Spiering's email address?

AeroLeads has found 1 work email signal at @newhaven.edu for Brian Spiering at The Data Incubator.

What is Brian Spiering's phone number?

AeroLeads has found 8 phone signal(s) with area code 805, 218, 415 for Brian Spiering at The Data Incubator.

Where is Brian Spiering based?

Brian Spiering is based in San Francisco, California, United States while working with The Data Incubator.

What companies has Brian Spiering worked for?

Brian Spiering has worked for The Data Incubator, Freelance, Metis, Fourthbrain, and Insight Softmax Consulting, Llc.

How can I contact Brian Spiering?

You can use AeroLeads to view verified contact signals for Brian Spiering at The Data Incubator, including work email, phone, and LinkedIn data when available.

What schools did Brian Spiering attend?

Brian Spiering holds Ph.D, Psychology; Cognition, Perception, & Cognitive Neuroscience from Uc Santa Barbara.

What skills is Brian Spiering known for?

Brian Spiering is listed with skills including Data Analysis, R, Python, Statistics, Matlab, Research, Data Science, and Algorithms.

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