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Alex Quintero Email & Phone Number

Director of Data Science at Rev at Rev
Location: San Diego, California, United States 7 work roles 2 schools
2 work emails found @leadcrunch.com 6 phones found area 619 and 888 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 6 phones

Work email a****@leadcrunch.com
Direct phone (619) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Rev
Role
Director of Data Science at Rev
Location
San Diego, California, United States

Who is Alex Quintero? Overview

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Quick answer

Alex Quintero is listed as Director of Data Science at Rev at Rev, based in San Diego, California, United States. AeroLeads shows a work email signal at leadcrunch.com, phone signal with area code 619, 888, and a matched LinkedIn profile for Alex Quintero.

Alex Quintero previously worked as Director of Data Science at Rev and Sr Data Scientist, Data Science Manager at Rev. Alex Quintero holds Master'S Degree, Data Science And Engineering from Uc San Diego.

Company email context

Email format at Rev

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{first}.{last}@leadcrunch.com
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AeroLeads found 2 current-domain work email signals for Alex Quintero. Compare company email patterns before reaching out.

Profile bio

About Alex Quintero

Specialties: Machine learning, Quantitative Analysis, Data Mining, Programming, Data Visualization, Project Management, Product Management, Strategy

Listed skills include Python, Apache Spark, R, Machine Learning, and 6 others.

Current workplace

Alex Quintero's current company

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Rev
Rev
Director of Data Science at Rev
AeroLeads page
7 roles

Alex Quintero work experience

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

Director Of Data Science

Current
Rev

San Diego, Ca, Us

May 2021 - Present

Sr Data Scientist, Data Science Manager

Rev

San Diego, Ca, Us

Apr 2015 - May 2021

Staff Research Associate

La Jolla, Ca, Us

- Oversee large-scale data processing operations, including collecting, organizing, and analyzing hydrographic and meteorological sensor data on worldwide oceanographic expeditions- Administer ship-wide website and database to allow scientists to centralize and run cross-comparison analyses on gathered data- Develop procedures in Python, shell scripts, and SQL to manage continuously collected underway data on SIO and U.S. Coast Guard ships- Install custom network computer hardware and peripherals on ship-wide intranets to enable seamless ship-wide transition from collection to analysis phase- Manage and assist fellow researchers and graduate students in science/ship operations, ensuring near- and long-term goals are achieved

Aug 2009 - Apr 2015

Quantitative Researcher/Assistant Trader

Privero Capital Management, Llc

- Researched and collaborated as part of a quantitative research team to innovate trading strategies- Developed event-driven and algorithmic statistical arbitrage trading strategies by simulating prototype methods and optimizing parameters- Created VBA, Python, SQL, and R scripts to collect, clean, and maintain public and proprietary data as well as to test the viability of putting developed strategies into effect

Oct 2007 - Aug 2009

Theoretical Astrophysics Research Assistant

Steward Observatory, U Of Arizona

- Planned and executed independent research in investigating galaxy evolution by comparing cosmological hydrodynamic simulations to statistical properties of approximately 500,000 observed galaxies- Constructed algorithms in C/C++, IDL, PERL and shell scripts for data analysis and results presentation- Mentored undergraduate research assistants in programming strategy and project management

Jul 2006 - Aug 2007

Observational Astrophysics Research Assistant

New York, Ny, Us

- Co-designed and conducted various scientific projects with advisor using the fecund data set from the Sloan Digital Sky Survey- Wrote algorithms in C/C++, IDL, PERL and shell scripts for data analysis and result presentation- Led and first-authored two group studies and co-authored two additional studies—all published in the Astrophysical Journal- Presented own research at conferences in Seattle, WA and Denver, CO- Mentored junior research assistants in problem solving strategies

Jan 2002 - Jul 2006

Physics Teaching Assistant

New York, Ny, Us

- Taught three, one-hour sections per week to pre-medical students- Constructed and supervised weekly laboratory sessions- Provided personal and group physics tutoring services- Evaluated homework and provided problems solving strategies to prepare students for physics portion of MCAT exam

Aug 2005 - May 2006
2 education records

Alex Quintero education

Master'S Degree, Data Science And Engineering

Uc San Diego

B. A., With Honors, Physics

New York University
FAQ

Frequently asked questions about Alex Quintero

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

What company does Alex Quintero work for?

Alex Quintero works for Rev.

What is Alex Quintero's role at Rev?

Alex Quintero is listed as Director of Data Science at Rev at Rev.

What is Alex Quintero's email address?

AeroLeads has found 2 work email signals at @leadcrunch.com for Alex Quintero at Rev.

What is Alex Quintero's phone number?

AeroLeads has found 6 phone signal(s) with area code 619, 888 for Alex Quintero at Rev.

Where is Alex Quintero based?

Alex Quintero is based in San Diego, California, United States while working with Rev.

What companies has Alex Quintero worked for?

Alex Quintero has worked for Rev, Scripps Institution Of Oceanography, Privero Capital Management, Llc, Steward Observatory, U Of Arizona, and New York University.

How can I contact Alex Quintero?

You can use AeroLeads to view verified contact signals for Alex Quintero at Rev, including work email, phone, and LinkedIn data when available.

What schools did Alex Quintero attend?

Alex Quintero holds Master'S Degree, Data Science And Engineering from Uc San Diego.

What skills is Alex Quintero known for?

Alex Quintero is listed with skills including Python, Apache Spark, R, Machine Learning, Data Mining, Etl, Data Analysis, and Algorithms.

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