AeroLeads people directory · profile
Dan Hu Email & Phone Number
Senior Machine Learning Engineer
at
Ipsos in US
1 work email found
@shopify.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Machine Learning Engineer
Location
San Francisco Bay Area, United States, United States
Company size
Who is Dan Hu? Overview
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Quick answer
Dan Hu is listed as Senior Machine Learning Engineer at Ipsos in US, a company with 18780 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at shopify.com and a matched LinkedIn profile for Dan Hu.
Dan Hu previously worked as Data Scientist at Ipsos North America and Data Scientist at Shopify. Dan Hu holds Master Of Science - Ms, Data Science, 3.983 from University Of Notre Dame.
Company email context
Email format at Ipsos in US
This section adds company-level context without repeating Dan Hu's masked contact details.
{first}.{last}@shopify.com
86% confidence
AeroLeads found 1 current-domain work email signal for Dan Hu. Compare company email patterns before reaching out.
Profile bio
About Dan Hu
I am proficient in using statistical analysis and machine learning techniques to deliver data-driven insights in marketing and business decision making. On top of strong technical skills, I also have rich experience in customer communication and serving. Additionally, I am a fast learner and problem solver.
Listed skills include Pandas, Neural Networks, Banking, R, and 46 others.
Current workplace
Dan Hu's current company
Company context helps verify the profile and gives searchers a useful next step.
Ipsos In Us
7 roles
Dan Hu work experience
A career timeline built from the work history available for this profile.
Data Scientist
Current
Oct 2023 - Present
Data Scientist
Jun 2022 - May 2023
Data Scientist Ii
Dec 2020 - Apr 2022
Data Scientist - Remote
+ As the statistics team leader, collaborate with international scientists. Understand their research goals, align with multiple research teams on the priorities of technical requests. Provide data science solutions to construct an earth science database that can be shared with scientists and engineers around the world.+ Designed a generalized data science.
Sep 2020 - Dec 2020
Data Scientist Fellow
+ To predict prices of used cars in San Francisco bay area, built a python web crawler using BeautifulSoup to collect data,followed with data preprocessing and feature engineering.+ Built a GBDT model using Scikit-learn, then deployed it on Google Cloud Platform.+ Built a web application using Flask, so users can query the deployed model to predict the.
Nov 2019 - Aug 2020
Personal Banking Manager, Business Analytics
+ Established marketing strategies, generated data visualizations and data-driven reports to deliver actionable insight.
Jul 2014 - Aug 2017
Team & coworkers
Colleagues at Ipsos in US
Other employees you can reach at ipsos.com. View company contacts for 18780 employees →
AM
Abdul Manan
Colleague at Ipsos In UsPakistan, Pakistan
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VS
Veronica Sazo
Colleague at Ipsos In UsGuatemala, Guatemala
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MM
Marisa Meneguzzo
Colleague at Ipsos In UsMorristown, New Jersey, United States, United States
View →
EL
Elaïné Lierville
Colleague at Ipsos In UsParis, Île-de-France, France, France
View →
JS
Jazz Stephens
Colleague at Ipsos In UsGreater Chicago Area, United States
View →
MS
Marco Stopazzolo
Colleague at Ipsos In UsMilan, Lombardy, Italy, Italy
View →
VG
Vanessa Gómez
Colleague at Ipsos In UsMiranda State, Venezuela, Venezuela, Bolivarian Republic Of
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RM
Rosa Maria Muñiz Ribo
Colleague at Ipsos In UsGreater Barcelona Metropolitan Area, Spain
View →
EV
Elissavet Vraka
Colleague at Ipsos In UsUnited Arab Emirates, United Arab Emirates
View →
MT
Marina Tivane
Colleague at Ipsos In UsMatola, Maputo Province, Mozambique, Mozambique
View →
Abdul Manan
Colleague at Ipsos In UsPakistan, Pakistan
View →
VS
Veronica Sazo
Colleague at Ipsos In UsGuatemala, Guatemala
View →
MM
Marisa Meneguzzo
Colleague at Ipsos In UsMorristown, New Jersey, United States, United States
View →
EL
Elaïné Lierville
Colleague at Ipsos In UsParis, Île-de-France, France, France
View →
JS
Jazz Stephens
Colleague at Ipsos In UsGreater Chicago Area, United States
View →
MS
Marco Stopazzolo
Colleague at Ipsos In UsMilan, Lombardy, Italy, Italy
View →
VG
Vanessa Gómez
Colleague at Ipsos In UsMiranda State, Venezuela, Venezuela, Bolivarian Republic Of
View →
RM
Rosa Maria Muñiz Ribo
Colleague at Ipsos In UsGreater Barcelona Metropolitan Area, Spain
View →
EV
Elissavet Vraka
Colleague at Ipsos In UsUnited Arab Emirates, United Arab Emirates
View →
MT
Marina Tivane
Colleague at Ipsos In UsMatola, Maputo Province, Mozambique, Mozambique
View →
3 education records
Dan Hu education
Master Of Science - Ms, Data Science, 3.983
Non Degree Program (Open University), Computer Science, 4.0
Bachelor'S Degree, Tourism Management
FAQ
Frequently asked questions about Dan Hu
Quick answers generated from the profile data available on this page.
What company does Dan Hu work for?
Dan Hu works for Ipsos in US.
What is Dan Hu's role at Ipsos in US?
Dan Hu is listed as Senior Machine Learning Engineer at Ipsos in US.
What is Dan Hu's email address?
AeroLeads has found 1 work email signal at @shopify.com for Dan Hu at Ipsos in US.
Where is Dan Hu based?
Dan Hu is based in San Francisco Bay Area, United States, United States while working with Ipsos in US.
What companies has Dan Hu worked for?
Dan Hu has worked for Ipsos In Us, Ipsos North America, Shopify, Caterpillar Inc., and Zhejiang University.
Who are Dan Hu's colleagues at Ipsos in US?
Dan Hu's colleagues at Ipsos in US include Abdul Manan, Veronica Sazo, Marisa Meneguzzo, Elaïné Lierville, and Jazz Stephens.
How can I contact Dan Hu?
You can use AeroLeads to view verified contact signals for Dan Hu at Ipsos in US, including work email, phone, and LinkedIn data when available.
What schools did Dan Hu attend?
Dan Hu holds Master Of Science - Ms, Data Science, 3.983 from University Of Notre Dame.
What skills is Dan Hu known for?
Dan Hu is listed with skills including Pandas, Neural Networks, Banking, R, Git, Rnn, Support Vector Machine, and Data Science.
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