Kai Li Email & Phone Number
@cccis.com
1 phone found area 800
LinkedIn matched
Who is Kai Li? Overview
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Kai Li is listed as From Data Scientist To Machine Learning Engineer at Meta, based in Kirkland, Washington, United States. AeroLeads shows a work email signal at cccis.com, phone signal with area code 800, and a matched LinkedIn profile for Kai Li.
Kai Li previously worked as Machine Learning Engineer at Meta and Lead Data Scientist at Ccc Intelligent Solutions. Kai Li holds Phd, Mathematics And Statistics from University Of Massachusetts Amherst.
Email format at Meta
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AeroLeads found 1 current-domain work email signal for Kai Li. Compare company email patterns before reaching out.
About Kai Li
Kai Li is a From Data Scientist To Machine Learning Engineer at Meta. He possess expertise in r, matlab, mathematica, statistics, statistical modeling and 31 more skills.
Listed skills include R, Matlab, Mathematica, Statistics, and 32 others.
Kai Li's current company
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Kai Li work experience
A career timeline built from the work history available for this profile.
Lead Data Scientist
Built DL models for an auto insurance claim to be processed with zero human intervention
Senior Data Scientist
Developed a predictive model on repair cost prediction services which has been adopted by several major insurance companies in the US
Data Scientist
Delivered a vehicle cluster model by their potential liability and medical payments, which can be used for insurance premium estimation directly, or as input features for other predictive models
Summer Intern
- Developed a support vector machine (SVM) model for credit scoring with over 30,000 observations by SAS- Solved the imbalanced data problem by using least square weighted SVM (LS-WSVM) approach- Implemented suitable recursive feature elimination (RFE) algorithm for variable selection- Achieved a lift of 0.93% for in-time validation and 3.42% for out-of-time validation in KS statistics compared to the previous logistic model used in production, which could bring more than 1 million dollars in revenue
Teaching Assistant
Teaching calculus, linear algebra and differential equation classes for undergraduate students
Research Assistant
Performing numerical analysis on nonlinear partial differential equations- Developed discrete numerical solver for nonlinear Schrodinger partial differential equations in MATLAB- Categorized and examined solutions of discrete solitons and vortices with respect to the persistence and stability of the PDE solutions by means of the Lyapunov-Schmidt theory- Evaluated the performance of the numerical solver by analyzing the deviation from the analytical solution- Identified the bifurcation diagrams of stationary solutions and their spontaneous symmetry breaking points- Simulated the dynamical behavior of the stationary solutions as well as the ghost solutions where they exist- Published 6 research papers, 3 of them are as first author
Kai Li education
Phd, Mathematics And Statistics
B.S, Mathematics
Frequently asked questions about Kai Li
Quick answers generated from the profile data available on this page.
What company does Kai Li work for?
Kai Li works for Meta.
What is Kai Li's role at Meta?
Kai Li is listed as From Data Scientist To Machine Learning Engineer at Meta.
What is Kai Li's email address?
AeroLeads has found 1 work email signal at @cccis.com for Kai Li at Meta.
What is Kai Li's phone number?
AeroLeads has found 1 phone signal(s) with area code 800 for Kai Li at Meta.
Where is Kai Li based?
Kai Li is based in Kirkland, Washington, United States while working with Meta.
What companies has Kai Li worked for?
Kai Li has worked for Meta, Ccc Intelligent Solutions, Discover Financial Services, and University Of Massachusetts Amherst.
How can I contact Kai Li?
You can use AeroLeads to view verified contact signals for Kai Li at Meta, including work email, phone, and LinkedIn data when available.
What schools did Kai Li attend?
Kai Li holds Phd, Mathematics And Statistics from University Of Massachusetts Amherst.
What skills is Kai Li known for?
Kai Li is listed with skills including R, Matlab, Mathematica, Statistics, Statistical Modeling, Sas, Latex, and Machine Learning.
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