AeroLeads people directory · profile
Weijie Gao Email & Phone Number
Lead Data Scientist
at
Verisk
3 work emails found
@verisk.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Who is Weijie Gao? Overview
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Quick answer
Weijie Gao is listed as Lead Data Scientist at Verisk, based in San Francisco, California, United States. AeroLeads shows a work email signal at verisk.com and a matched LinkedIn profile for Weijie Gao.
Weijie Gao previously worked as Senior Data Scientist at Verisk and Data Scientist at Verisk. Weijie Gao holds Master'S Degree, Analytics from University Of Chicago.
Company email context
Email format at Verisk
This section adds company-level context without repeating Weijie Gao's masked contact details.
wgao@verisk.com
85% confidence
AeroLeads found 3 current-domain work email signals for Weijie Gao. Compare company email patterns before reaching out.
Profile bio
About Weijie Gao
A Data Science professional who possess abundant project experience in predictive modeling, machine learning, and data visualization; keen to apply mathematical and statistical knowledge to solve complicated problems with data. Quick learner with the ability to work in a fast-paced, dynamic, cross-functional, and sometimes highly pressured environment.
Listed skills include R, Python, Machine Learning, Data Analytics, and 17 others.
Current workplace
Weijie Gao's current company
Company context helps verify the profile and gives searchers a useful next step.
Verisk
Website
AeroLeads page
10 roles
Weijie Gao work experience
A career timeline built from the work history available for this profile.
Lead Data Scientist
Senior Data Scientist
Mar 2021 - Apr 2022
Data Scientist
Nov 2019 - Mar 2021
Data Scientist
Maplecroft
- Automated score generation of geo-political risks faced by businesses, by web scraping news articles daily and classify articles with ensemble classifiers, and explored the feasibility of monitoring foreign language news.- Developed a data pipeline for event capture, metadata extraction and entity recognition with NLP and MangoDB.
Jun 2018 - Nov 2019
Data Scientist
• Deployed point of purchase analysis to predict and analyse impact of advertisement campaign to sales volume.• Refinement of existing Python and PySpark based APIs to help aide data extraction and feature generation.• Determine potential process enhancements to ad-hoc analytics requests as well as reporting
Dec 2017 - Mar 2018
Data Scientist
• Performed end-to-end analysis for electric car usage patterns via python under AWS EC2 and S3• Applied LSTM RNN based time series approach for forecasting energy consumption data from 2013 to 2016• Developed random forest, gradient boosting and neural nets to classify over 100k customers' charging behavior• Created reusable frameworks and infrastructure that enable effective data extraction
Jul 2017 - Sep 2017
Research Analyst
• Worked with distinguished psychologist Dr. Robert Epstein on a big data research project • Performed extensive statistical analysis on data from more than 700,000 people in 219 countries and territories • Built mixed gaussian models to analyze the potential influence of social pressure in different countries • Successfully be named as co-author with Dr. Epstein on research paper to be submitted to top journals
Jun 2017 - Jul 2017
Data Analyst (Capstone)
• Implemented extensive ETL with SQL server to draw out key business insights • Conducted feature engineering metrics to explore significant features related to ineligible Medicaid rebate voices • Utilized R, Python and Tableau extensively for data wrangling, model building and visualizations • Improved anomaly detection accuracy from 75% to 94% via machine learning ensemble models, which was expected to save drug manufacturers millions of cost.
Jan 2017 - May 2017
Data Analyst
• Worked with BBC R&D team to develop effective news article multi-label classification algorithm by combining NLP and ML algorithms • Improved overall accuracy from 57% to 86% compared with the original semantic tagging system • Incorporated new algorithms into interior tagging system and significantly reduced the cost of manual labeling
Jun 2015 - Sep 2015
2 education records
Weijie Gao education
Master'S Degree, Analytics
University Of Chicago
Bachelor'S Degree, Mathematics
University Of Liverpool
FAQ
Frequently asked questions about Weijie Gao
Quick answers generated from the profile data available on this page.
What company does Weijie Gao work for?
Weijie Gao works for Verisk.
What is Weijie Gao's role at Verisk?
Weijie Gao is listed as Lead Data Scientist at Verisk.
What is Weijie Gao's email address?
AeroLeads has found 3 work email signals at @verisk.com for Weijie Gao at Verisk.
Where is Weijie Gao based?
Weijie Gao is based in San Francisco, California, United States while working with Verisk.
What companies has Weijie Gao worked for?
Weijie Gao has worked for Verisk, Maplecroft, Havi, Ecalcharge, and American Institute For Behavioral Research And Technology.
How can I contact Weijie Gao?
You can use AeroLeads to view verified contact signals for Weijie Gao at Verisk, including work email, phone, and LinkedIn data when available.
What schools did Weijie Gao attend?
Weijie Gao holds Master'S Degree, Analytics from University Of Chicago.
What skills is Weijie Gao known for?
Weijie Gao is listed with skills including R, Python, Machine Learning, Data Analytics, Sas, Spss, Tableau, and Vba.
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