Senior Data Scientist
Current
Sep 2024 - Present
AeroLeads people directory · profile
Dan Wei Email & Phone Number
Data Science | Machine Learning | Cloud Efficiency
at
Snowflake
1 work email found
@lacework.com
2 phones found area 650 and 866
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Data Science | Machine Learning | Cloud Efficiency
Location
San Francisco Bay Area, United States, United States
Who is Dan Wei? Overview
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Quick answer
Dan Wei is listed as Data Science | Machine Learning | Cloud Efficiency at Snowflake, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at lacework.com, phone signal with area code 650, 866, and a matched LinkedIn profile for Dan Wei.
Dan Wei previously worked as Senior Data Scientist at Snowflake and Data Scientist at Lacework. Dan Wei holds Master Of Science (M.S.), Engineering from Stanford University.
Company email context
Email format at Snowflake
This section adds company-level context without repeating Dan Wei's masked contact details.
{first}.{last}@lacework.com
86% confidence
AeroLeads found 1 current-domain work email signal for Dan Wei. Compare company email patterns before reaching out.
Profile bio
About Dan Wei
Passionate about data, machine learning, and programmingProblem solver, team player, and boba lover
Listed skills include Data Analysis, Microsoft Office, R, Building Energy Analysis, and 6 others.
Current workplace
Dan Wei's current company
Company context helps verify the profile and gives searchers a useful next step.
8 roles
Dan Wei work experience
A career timeline built from the work history available for this profile.
Data Scientist
Jun 2022 - Sep 2024
Senior Data Scientist
Jul 2021 - May 2022
Model Development Engineer
- Conducted the Anomaly Detection project including data model design, algorithm design, and visualization dashboards. - Improved and maintained the regression models of whole-building thermal loads and power consumption- Developed Auto-Calibration tool with ML algorithms and designed metrics guidance as well as uncertainty analysis- Performed ETL and data.
Aug 2017 - Feb 2021
Research Engineer
- Developed the automatic energy analysis/identification tool suite and data pipeline - Created scripts to organize, clean, and analyzed Salesforce data to predict client behaviors and profits, with the result being interactive dashboards for the internal sales team- Investigated solutions to the unbalanced/seasonal data problem in the regression models.
Feb 2016 - Jul 2017
Economics Intern
Sep 2015 - Dec 2015
Low Carbon And Energy Efficiency Intern
Jun 2014 - Sep 2014
Climate Change Intern
Nov 2011 - Oct 2012
2 education records
Dan Wei education
Master Of Science (M.S.), Engineering
Stanford University
Bachelor Of Engineering (B.E.), Engineering
Tsinghua University
FAQ
Frequently asked questions about Dan Wei
Quick answers generated from the profile data available on this page.
What company does Dan Wei work for?
Dan Wei works for Snowflake.
What is Dan Wei's role at Snowflake?
Dan Wei is listed as Data Science | Machine Learning | Cloud Efficiency at Snowflake.
What is Dan Wei's email address?
AeroLeads has found 1 work email signal at @lacework.com for Dan Wei at Snowflake.
What is Dan Wei's phone number?
AeroLeads has found 2 phone signal(s) with area code 650, 866 for Dan Wei at Snowflake.
Where is Dan Wei based?
Dan Wei is based in San Francisco Bay Area, United States, United States while working with Snowflake.
What companies has Dan Wei worked for?
Dan Wei has worked for Snowflake, Lacework, Metromile, Carbon Lighthouse, and Environmental Defense Fund.
How can I contact Dan Wei?
You can use AeroLeads to view verified contact signals for Dan Wei at Snowflake, including work email, phone, and LinkedIn data when available.
What schools did Dan Wei attend?
Dan Wei holds Master Of Science (M.S.), Engineering from Stanford University.
What skills is Dan Wei known for?
Dan Wei is listed with skills including Data Analysis, Microsoft Office, R, Building Energy Analysis, Java, Javascript, C++, and Machine Learning.
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