AeroLeads people directory · profile

Pinkesh Patel Email & Phone Number

Data Science
Location: San Francisco Bay Area, United States, United States 10 work roles 2 schools
2 work emails found @google.com 2 phones found area 626 and 650 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

Contact Signals · 2 work emails · 2 phones

Work email p****@google.com
Direct phone (626) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Data Science
Location
San Francisco Bay Area, United States, United States

Who is Pinkesh Patel? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Pinkesh Patel is listed as Data Science based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 626, 650, and a matched LinkedIn profile for Pinkesh Patel.

Pinkesh Patel previously worked as Principal Product Manager at Luminary Cloud and Group Product Manager at Google. Pinkesh Patel holds Doctor Of Philosophy (Ph.D.), Physics from Caltech.

Company email context

Email format at google.com

This section adds company-level context without repeating Pinkesh Patel's masked contact details.

{first}{last}@google.com
89% confidence

AeroLeads found 2 current-domain work email signals for Pinkesh Patel. Compare company email patterns before reaching out.

Profile bio

About Pinkesh Patel

Science type 1 (Physics) -> Science type 2 -> Data Science at Big Data Set Company -> Data Science for a VC -> Company to collect and make useful human data -> Data Science at Big Data Set Company 2

Listed skills include Statistics, Electronics, Grid Computing, Scripting, and 21 others.

10 roles

Pinkesh Patel work experience

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

Principal Product Manager

San Mateo, California, US

Helping make Computer Aided Engineering and Design (Physical Engineering - building things like Airplanes, Cars, Ovens...) as fast and efficient as Software Deployment or Data Analytics.

Nov 2023 - Mar 2024

Group Product Manager

Mountain View, CA, US

I am responsible for growing the API (Enterprise) business of Google Maps Platform. Also responsible for the 'Quality' of the product, answering the question - does the Maps product enable the business use case of Google Maps's developers? I lead a small team to improve the Data Quality, Algorithmic Quality and Implementation of major developers. In.

Feb 2020 - Nov 2023

Data Scientist

San Francisco, CA, US

May 2018 - Dec 2019

Co-Founder

Tidbit

www.tidbit.ioPush-based note-taking for engineering managers.Meetings and 1-on-1s are critical tools for any manager — we take the stress out of being a great manager by helping you save and recall key information about your team

Feb 2017 - May 2018

Data Scientist

Menlo Park, California, US

Sep 2015 - Feb 2016

Data Scientist

I work on User Engagement for Instagram and help understand how users use our products and how we can make them better. This involves understanding a wide ranging set of variables and products. I am also responsible for understanding the overall ecosystem of Instagram and responsible for identifying the levers which we can employ to improve their.

Jan 2015 - Jul 2015

Data Scientist

I have worked on several teams at Facebook in various capacities - User Engagement/ Facebook Ecosystem - Understanding various movers and shakers of Facebook's core business. Helping Facebook understand the drivers of its key metrics such as Time Spent on the site, Content Produced and User interaction. Analyzing Time Series and systemic level variables..

Jan 2013 - Jan 2015

Postdoctoral Scholar

Stanford, CA, US

- Simulation of Mitochondrial Dynamics - Simulation of non- interacting complex particles (mitochondria), moving in two dimensions with persistent diffusion. Simulation work done in C++.- Sequencing of Mitochondrial DNA from Yeast cells - Exploring the role of mitochondrial DNA on overall mitochondrial health. Identified previously unknown open reading.

Oct 2010 - Dec 2012

Graduate Student

Pasadena, CA, US

- Data Analysis - Analyzed very large datasets from the Laser Interferometer Gravitational-Wave Observatory (LIGO), looking for signals from neutron stars. Data was analyzed on large grid computers (8000 nodes) calculating both Frequentist and Bayesian statistics.- Wrote open source analysis tools, which were curated and managed as an analysis library..

Sep 2005 - Aug 2010

Student Tutor

Philadelphia, Pennsylvania, US

  • Tutored students one on one in Physics, Chemistry and Math.
  • Conducted tutorial sessions and reviews before tests, attended by over 30 students each week.
Jun 2003 - Jun 2004
2 education records

Pinkesh Patel education

Doctor Of Philosophy (Ph.D.), Physics

Caltech

Bs, Physics

Drexel University
FAQ

Frequently asked questions about Pinkesh Patel

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

What is Pinkesh Patel's role at their current company?

Pinkesh Patel is listed as Data Science.

What is Pinkesh Patel's email address?

AeroLeads has found 2 work email signals at @google.com for Pinkesh Patel.

What is Pinkesh Patel's phone number?

AeroLeads has found 2 phone signal(s) with area code 626, 650 for Pinkesh Patel.

Where is Pinkesh Patel based?

Pinkesh Patel is based in San Francisco Bay Area, United States, United States.

What companies has Pinkesh Patel worked for?

Pinkesh Patel has worked for Luminary Cloud, Google, Airbnb, Tidbit, and S23P.

How can I contact Pinkesh Patel?

You can use AeroLeads to view verified contact signals for Pinkesh Patel, including work email, phone, and LinkedIn data when available.

What schools did Pinkesh Patel attend?

Pinkesh Patel holds Doctor Of Philosophy (Ph.D.), Physics from Caltech.

What skills is Pinkesh Patel known for?

Pinkesh Patel is listed with skills including Statistics, Electronics, Grid Computing, Scripting, Matlab, Mathematical Modeling, Latex, and Algorithms.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.