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Binal Patel Email & Phone Number

Location: Raleigh-Durham-Chapel Hill Area, United States 9 work roles 2 schools
1 work email found @sequoiacap.com 3 phones found area 919 and 470 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email b****@sequoiacap.com
Direct phone (919) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Data Scientist
Location
Raleigh-Durham-Chapel Hill Area, United States
Company size

Who is Binal Patel? Overview

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Quick answer

Binal Patel is listed as Data Scientist at Sequoia Capital Global Equities, a with 353 employees, based in Raleigh-Durham-Chapel Hill Area, United States. AeroLeads shows a work email signal at sequoiacap.com, phone signal with area code 919, 470, and a matched LinkedIn profile for Binal Patel.

Binal Patel previously worked as Senior Staff Machine Learning Engineer at Samsung Next and Senior Machine Learning Engineer at Saiva, Inc.. Binal Patel holds Master'S Degree, Statistics from North Carolina State University.

Company email context

Email format at Sequoia Capital Global Equities

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{first}.{last}@sequoiacap.com
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AeroLeads found 1 current-domain work email signal for Binal Patel. Compare company email patterns before reaching out.

Profile bio

About Binal Patel

AI + ML + SWE for 10+ years in hedge funds, tech, and healthcare.

Listed skills include Data Analysis, Statistics, Sas, Sql, and 44 others.

Current workplace

Binal Patel's current company

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

Sequoia Capital Global Equities
Sequoia Capital Global Equities
Data Scientist
Chapel Hill, NC, US
Website
Employees
353
AeroLeads page
9 roles

Binal Patel work experience

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

Data Scientist

Current

Menlo Park, California, Us

Sequoia Capital Global Equities (SCGE) is a public/private crossover firm, with investments spanning from late-stage private companies to public companies. SCGE was founded in 2009 to expand Sequoia Capital’s technology investing efforts into the public markets and operates independently as a separate investment adviser under the Sequoia brand. SCGE focuses on concentrated, long-term investments in companies across the global technology, media, and telecommunications (TMT) sectors. While public companies comprise the majority of SCGE’s portfolio, the team also invests in companies in pre-IPO crossover rounds, including alongside Sequoia Capital. SCGE’s private portfolio includes emerging leaders in the United States, Brazil, China, India, Israel, Japan, and South Korea. As these private companies become public, SCGE often continues to be a long-term shareholder with additional investments at the IPO and beyond.

May 2021 - Present

Senior Staff Machine Learning Engineer

Mountain View, Ca, Us

As part of the core ML team I researched, designed, implemented, and deployed language models (LLMs), as well as search and recommendation models. The most widely used model was deployed as part of Samsung Foods to over 500k active users.

Jan 2020 - Mar 2021

Senior Machine Learning Engineer

Mountain View, California, Us

Built and deployed infrastructure + AI models that fused structured clinical data with unstructured text data (via LLMs) to predict patients risk of deterioration or complications. Facilities using these models saw significant declines in adverse events.

Apr 2019 - Jan 2020

Machine Learning Engineer

Emeryville, Ca, Us

Developed a platform that allows for repeatable, reproducible, and scalable pipelines that generate value from healthcare data. Developed AI/ML models to predict patient risk, while also modernizing internal tooling and processes, such as rebuilding legacy tools using Python and VueJS.

Mar 2018 - Apr 2019

Head Of Data Engineering, Surveyor Capital

Miami, Florida, Us

Led a team of data engineers for Surveyor Capital (part of Citadel), helping portfolio managers and desks generate value from alternative and exotic datasets.

Jan 2017 - Mar 2018

Senior Data Scientist

Coppell, Texas, Us

As an early hire did everything, from building the AI/ML platform and models, to sales, to leading customer accounts and working with nurses/doctors to implement model predictions within their workflows.

Apr 2015 - Dec 2016

Data Scientist

Northbrook, Il, Us

Worked with enterprise clients to develop and deploy AI/ML solutions for their business problems.

Aug 2013 - Jan 2014
2 education records

Binal Patel education

Master'S Degree, Statistics

North Carolina State University

B.S., Economics: Business Concentration

North Carolina State University
FAQ

Frequently asked questions about Binal Patel

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

What company does Binal Patel work for?

Binal Patel works for Sequoia Capital Global Equities.

What is Binal Patel's role at Sequoia Capital Global Equities?

Binal Patel is listed as Data Scientist at Sequoia Capital Global Equities.

What is Binal Patel's email address?

AeroLeads has found 1 work email signal at @sequoiacap.com for Binal Patel at Sequoia Capital Global Equities.

What is Binal Patel's phone number?

AeroLeads has found 3 phone signal(s) with area code 919, 470 for Binal Patel at Sequoia Capital Global Equities.

Where is Binal Patel based?

Binal Patel is based in Raleigh-Durham-Chapel Hill Area, United States while working with Sequoia Capital Global Equities.

What companies has Binal Patel worked for?

Binal Patel has worked for Sequoia Capital Global Equities, Samsung Next, Saiva, Inc., Vituity, and Citadel Llc.

How can I contact Binal Patel?

You can use AeroLeads to view verified contact signals for Binal Patel at Sequoia Capital Global Equities, including work email, phone, and LinkedIn data when available.

What schools did Binal Patel attend?

Binal Patel holds Master'S Degree, Statistics from North Carolina State University.

What skills is Binal Patel known for?

Binal Patel is listed with skills including Data Analysis, Statistics, Sas, Sql, R, Analytics, Microsoft Excel, and Python.

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