AeroLeads people directory · profile

Nancy Nan Email & Phone Number

Data Scientist at Streeteasy at Meta

Location: New York, United States 5 work roles 2 schools

2 work emails found @zillowgroup.com LinkedIn matched

✓ Verified August 2026 4 data sources Profile completeness 100%

Current company

Who is Nancy Nan? Overview

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Quick answer

Nancy Nan is listed as Data Scientist at Streeteasy at Meta, a with 136862 employees, based in New York, United States. AeroLeads shows a work email signal at zillowgroup.com and a matched LinkedIn profile for Nancy Nan.

Nancy Nan previously worked as Data Scientist at Zillow and Operations Engineer at Oscar Health. Nancy Nan holds Bachelor Of Arts (B.A.), Mathematics, High Distinction; Economics from University Of Rochester.

Company email context

Email format at Meta

This section adds company-level context without repeating Nancy Nan's masked contact details.

{first_initial}{last}@zillowgroup.com

89% confidence

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

View email format View company profile Management contacts

Profile bio

About Nancy Nan

Nancy Nan is a Data Scientist at Streeteasy at Meta. She possess expertise in python, machine learning, r, data mining, deep learning and 16 more skills.

Listed skills include Python, Machine Learning, R, Data Mining, and 17 others.

Current workplace

Nancy Nan's current company

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Nancy Nan work experience

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

Role listed

Data Scientist

Current

Zillow

Seattle, Washington, Us

Mar 2020 - Present

Operations Engineer

Oscar Health

New York, New York, Us

Mar 2019 - Mar 2020

Operations Analyst

Oscar Health

New York, New York, Us

Oct 2017 - Feb 2019

Ml Project Lead

Soleo

Rochester, Ny, Us

Jan 2017 - May 2017

Team & coworkers

Colleagues at Meta

Other employees you can reach at metadownhole.com. View company contacts for 136862 employees →

RD

Rod D. Colleague at MetaKirkland, Washington, United States View → HD

Ha Djer Colleague at MetaAlgiers, Algeria View → MM

Mekhfioui Mohammed Colleague at MetaAgadir, Souss-Massa, Morocco View → RR

Renata Rezende Colleague at MetaSão Paulo, Brazil View → BM

Brook Melaku Colleague at MetaAuckland, New Zealand View → JG

Joanna Gochuico Schafer Colleague at MetaAustin, Texas, United States View → RM

Rayan Mahi Colleague at MetaEl Bayadh, Algeria View → JL

Jasmine Liew Colleague at MetaLos Angeles, California, United States View → DC

Délcio Cunha Colleague at MetaSenador Canedo, Goiás, Brazil View → PH

Priscilla H. Colleague at MetaAustin, Texas, United States View →

2 education records

Nancy Nan education

Bachelor Of Arts (B.A.), Mathematics, High Distinction; Economics

University Of Rochester

Master Of Science (M.S.), Data Science

University Of Rochester

FAQ

Frequently asked questions about Nancy Nan

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

What company does Nancy Nan work for?

Nancy Nan works for Meta.

What is Nancy Nan's role at Meta?

Nancy Nan is listed as Data Scientist at Streeteasy at Meta.

What is Nancy Nan's email address?

AeroLeads has found 2 work email signals at @zillowgroup.com for Nancy Nan at Meta.

Where is Nancy Nan based?

Nancy Nan is based in New York, United States while working with Meta.

What companies has Nancy Nan worked for?

Nancy Nan has worked for Meta, Zillow, Oscar Health, and Soleo.

Who are Nancy Nan's colleagues at Meta?

Nancy Nan's colleagues at Meta include Rod D., Ha Djer, Mekhfioui Mohammed, Renata Rezende, and Brook Melaku.

How can I contact Nancy Nan?

You can use AeroLeads to view verified contact signals for Nancy Nan at Meta, including work email, phone, and LinkedIn data when available.

What schools did Nancy Nan attend?

Nancy Nan holds Bachelor Of Arts (B.A.), Mathematics, High Distinction; Economics from University Of Rochester.

What skills is Nancy Nan known for?

Nancy Nan is listed with skills including Python, Machine Learning, R, Data Mining, Deep Learning, Data Analytics, Statistics, and Matlab.

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