Data Scientist/ Machine Learning Engineer
Current
Apr 2024 - Present
AeroLeads people directory · profile
Maggie Wu Email & Phone Number
Data Scientist
at
Databricks
1 work email found
@mckinsey.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Data Scientist
Location
Greater Chicago Area, United States
Company size
Who is Maggie Wu? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Maggie Wu is listed as Data Scientist at Databricks, a with 1644 employees, based in Greater Chicago Area, United States. AeroLeads shows a work email signal at mckinsey.com and a matched LinkedIn profile for Maggie Wu.
Maggie Wu previously worked as Data Scientist/ Machine learning Engineer at Databricks and Data Science Consultant at Mckinsey & Company. Maggie Wu holds Master'S Degree, Applied Data Science from University Of Chicago.
Company email context
Email format at Databricks
This section adds company-level context without repeating Maggie Wu's masked contact details.
{first}_{last}@mckinsey.com
86% confidence
AeroLeads found 1 current-domain work email signal for Maggie Wu. Compare company email patterns before reaching out.
Profile bio
About Maggie Wu
Maggie Wu is a Data Scientist at Databricks. She possess expertise in financial modeling, bloomberg terminal, microsoft office, equity research, sales and 12 more skills.
Listed skills include Financial Modeling, Bloomberg Terminal, Microsoft Office, Equity Research, and 13 others.
Current workplace
Maggie Wu's current company
Company context helps verify the profile and gives searchers a useful next step.
Databricks
8 roles · 14 years
Maggie Wu work experience
A career timeline built from the work history available for this profile.
Data Science Consultant
Jul 2022 - Jan 2024
Data Scientist Ii
Jul 2022 - Jan 2024
Senior Data Scientist - Vp
Jan 2022 - Jul 2022
Data Scientist
Jun 2021 - Jul 2022
Research Assistant
RA at Centre of Artificial Intelligence
Feb 2021 - Mar 2022
Investment Banking Analyst
• Supported the execution of sell-side M&A transactions valued at $20M - $100M • Conducted in-depth financial and business analyses to build Pitchbook/Information Memorandum and Management Presentation; converted data into compelling stories and synthesized insights
2017 - 2019
~2 yrs
Customer Relationship Associate
2013 - 2014
~1 yr
Team & coworkers
Colleagues at Databricks
Other employees you can reach at databricks.com. View company contacts for 1644 employees →
VS
Vishal Shinde
Colleague at DatabricksPimpri Chinchwad, Maharashtra, India
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RI
Raysul Islam
Colleague at DatabricksGopalpur, Dhaka, Bangladesh
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BG
Balasubramaniam Ganesan
Colleague at DatabricksChennai, Tamil Nadu, India
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WY
Wenfei Yan
Colleague at DatabricksSan Francisco, California, United States
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PS
Phil Salm
Colleague at DatabricksAppleton, Wisconsin, United States
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AK
Arvind Kumar
Colleague at DatabricksBengaluru, Karnataka, India
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YM
Youssef Mrini
Colleague at DatabricksGreater Paris Metropolitan Region, France
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MG
Michael Gephart
Colleague at DatabricksPark City, Utah, United States
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JP
Jason Pohl
Colleague at DatabricksSan Francisco, California, United States
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SS
Suyog Soti
Colleague at DatabricksOakland, California, United States
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Vishal Shinde
Colleague at DatabricksPimpri Chinchwad, Maharashtra, India
View →
RI
Raysul Islam
Colleague at DatabricksGopalpur, Dhaka, Bangladesh
View →
BG
Balasubramaniam Ganesan
Colleague at DatabricksChennai, Tamil Nadu, India
View →
WY
Wenfei Yan
Colleague at DatabricksSan Francisco, California, United States
View →
PS
Phil Salm
Colleague at DatabricksAppleton, Wisconsin, United States
View →
AK
Arvind Kumar
Colleague at DatabricksBengaluru, Karnataka, India
View →
YM
Youssef Mrini
Colleague at DatabricksGreater Paris Metropolitan Region, France
View →
MG
Michael Gephart
Colleague at DatabricksPark City, Utah, United States
View →
JP
Jason Pohl
Colleague at DatabricksSan Francisco, California, United States
View →
SS
Suyog Soti
Colleague at DatabricksOakland, California, United States
View →
3 education records
Maggie Wu education
Master'S Degree, Applied Data Science
Master Of Science (Ms), Finance, General
Bachelor'S Degree, Computer Science And Engineering
FAQ
Frequently asked questions about Maggie Wu
Quick answers generated from the profile data available on this page.
What company does Maggie Wu work for?
Maggie Wu works for Databricks.
What is Maggie Wu's role at Databricks?
Maggie Wu is listed as Data Scientist at Databricks.
What is Maggie Wu's email address?
AeroLeads has found 1 work email signal at @mckinsey.com for Maggie Wu at Databricks.
Where is Maggie Wu based?
Maggie Wu is based in Greater Chicago Area, United States while working with Databricks.
What companies has Maggie Wu worked for?
Maggie Wu has worked for Databricks, Mckinsey & Company, Quantumblack, Ai By Mckinsey, Truist, and The University Of Chicago Booth School Of Business.
Who are Maggie Wu's colleagues at Databricks?
Maggie Wu's colleagues at Databricks include Vishal Shinde, Raysul Islam, Balasubramaniam Ganesan, Wenfei Yan, and Phil Salm.
How can I contact Maggie Wu?
You can use AeroLeads to view verified contact signals for Maggie Wu at Databricks, including work email, phone, and LinkedIn data when available.
What schools did Maggie Wu attend?
Maggie Wu holds Master'S Degree, Applied Data Science from University Of Chicago.
What skills is Maggie Wu known for?
Maggie Wu is listed with skills including Financial Modeling, Bloomberg Terminal, Microsoft Office, Equity Research, Sales, Risk Management, Customer Service, and Sql.
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