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Ji An Email & Phone Number

Product Analyst, Data Science at Google at Google
Location: San Francisco Bay Area, United States 12 work roles 4 schools
2 work emails found @google.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails

Work email j****@google.com
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Current company
Role
Product Analyst, Data Science at Google
Location
San Francisco Bay Area, United States
Company size

Who is Ji An? Overview

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Quick answer

Ji An is listed as Product Analyst, Data Science at Google at Google, a with 1 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at google.com and a matched LinkedIn profile for Ji An.

Ji An previously worked as Senior Product Analyst, Data Science at Google and Product Analyst, Data Science at Google. Ji An holds Doctor Of Philosophy - Phd, Measurement, Statistics And Evaluation from University Of Maryland.

Company email context

Email format at Google

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{first_initial}{last}@google.com
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AeroLeads found 2 current-domain work email signals for Ji An. Compare company email patterns before reaching out.

Profile bio

About Ji An

Data Scientist | Analytics | Experiment | Machine Learning | Storytelling with Data

Listed skills include Teaching, Statistics, Research, Spss, and 11 others.

Current workplace

Ji An's current company

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

Google
Google
Product Analyst, Data Science at Google
Mountain View, CA
Website
Employees
1
AeroLeads page
12 roles

Ji An work experience

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

Senior Product Analyst, Data Science

Current

Mountain View, Ca, Us

May 2022 - Present

Product Analyst, Data Science

Mountain View, Ca, Us

Aug 2019 - Apr 2022

Data Scientist

Kidaptive, Inc.

Led a variety of end-to-end projects, some of which are now in production:- conducted deep dive analyses to address customer’s interests;- investigated the patterns of user behaviors and generated learner types;- developped suprvised machine learning models for predictive applications;- evaluated the effect of online services in both experimental and non-experimental settings;- communicated complicated work to (non-)technical stakeholders on a regular basis;- partnered closely with the product and engineer teams to put the research into production.

Apr 2018 - Jul 2019

Insight Data Science Fellow

San Francisco, Ca, Us

- Provided actionable insights to a startup credit card company Final (https://getfinal.com/, later on was acquired by Goldman Sachs, and now they make Apple Card!) to improve the performance of their core product-virtual cards.- Implemented cluster analyses via partitioning around medoids (PAM) algorithm for efficient merchant classification; built a predictive model via random forest for fraud detection (100k+ transactions).

Sep 2017 - Dec 2017

Data Scientist-Intern

New York, Ny, Us

- Developed a missing data imputation model via random forest to measure TV/text program ratings across all device platforms such as mobile, desktop etc. (Collaborated with Facebook).- Presented the model to Nielsen data science leadership team and the model is under consideration to be incorporated into the product (Nielsen Digital Content Ratings).

Jun 2017 - Aug 2017

Quantitative Research Assistant

College Park, Md, Us

- Identified key quantitative metrics, formulated hypotheses, and designed statistical/methodological approaches for multiple vaccine-related public health projects funded by Centers for Disease Control and Prevention (CDC).- Designed survey/questionnaires, and analyzed national survey data using a variety of statistical modeling methods, e.g., regression, factor analysis, structural equation modeling, tree analysis, etc.- Regularly communicated statistical results/findings, helped spread quantitative research practices to qualitative team members, and drafted papers for publications (covered by media reports).

Aug 2015 - May 2017

Psychometric Consultant (Part-Time)

Vienna, Va, Us

- Developed and programmed a scoring model/testing system for a national high-stake examination, which is officially being used by National Institute for Occupational Safety and Health (NIOSH).

Apr 2016 - Jan 2017

Quantitative Research Intern

Mcgraw-Hill Education Ctb

- Completed a project on automated essay scoring (AI scoring) using machine learning and hypothesis testing. - Presented the findings to the quantitative research team and at a national conference (NCME).

Jun 2015 - Aug 2015

Undergraduate Statistics Course Instructor/Graduate Teaching Assistant

College Park, Md, Us

- Instructor for Introduction to Educational Statistics (EDMS 451-undergraduate level). - Topics included: hypothesis testing, linear regression, probability, sampling distribution, and correlation, etc.- Responsibilities included: developing course plans, teaching, holding office hours, grading the assignments and exams.- Teaching assistant for Quantitative Research Methodology II (EDMS646-graduate level). Both courses were provided by Measurement, Statistics and Evaluation Program at the University of Maryland

Jan 2014 - May 2015

Graduate Teaching Assistant

College Park, Md, Us

- Teaching assistant for Introduction to Educational Statistics (EDMS451-undergraduate level). Responsibilities include: leading review and discussion sections, holding office hours on behalf of the instructor, grading the assignments and exams.

Sep 2013 - Dec 2013

Graduate Assistant, Startalk Program

Riverdale, Maryland, Us

- Managed STARTALK Chinese programs (>50, nationwide) contracted with National Security Agency (NSA).- Collected program data, managed the program database, and evaluated programs by participating in state wide site visits, conducting interviews, and reviewing proposals.- Sponsored program representatives and external consultants to ensure successful programs through monitoring and tracking program progress.

Nov 2012 - Aug 2013

Chinese Immersion Teacher

Post Oak Magnet School

- Taught Chinese language and culture, mathematics, and social studies.- Assessed and evaluated students' performances and achievements.

Sep 2009 - Jun 2011
Team & coworkers

Colleagues at Google

Other employees you can reach at google.com. View company contacts for 1 employees →

4 education records

Ji An education

Doctor Of Philosophy - Phd, Measurement, Statistics And Evaluation

University Of Maryland

M.A., Measurement, Statistics And Evaluation

University Of Maryland

M.A., Teaching And Curriculum

Michigan State University

B.A., Teaching Chinese As A Foreign Language

Nanjing University
FAQ

Frequently asked questions about Ji An

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

What company does Ji An work for?

Ji An works for Google.

What is Ji An's role at Google?

Ji An is listed as Product Analyst, Data Science at Google at Google.

What is Ji An's email address?

AeroLeads has found 2 work email signals at @google.com for Ji An at Google.

Where is Ji An based?

Ji An is based in San Francisco Bay Area, United States while working with Google.

What companies has Ji An worked for?

Ji An has worked for Google, Kidaptive, Inc., Insight Data Science, Nielsen, and University Of Maryland College Park.

Who are Ji An's colleagues at Google?

Ji An's colleagues at Google include Hasan Zirak, Zheng Zhang, Aurimas Šumnauskas, Arcadius Mbagaya, and Russell Goldenbroit.

How can I contact Ji An?

You can use AeroLeads to view verified contact signals for Ji An at Google, including work email, phone, and LinkedIn data when available.

What schools did Ji An attend?

Ji An holds Doctor Of Philosophy - Phd, Measurement, Statistics And Evaluation from University Of Maryland.

What skills is Ji An known for?

Ji An is listed with skills including Teaching, Statistics, Research, Spss, Data Analysis, R, Qualitative Research, and Sas.

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