Bingyi(Brian) Li

Bingyi(Brian) Li Email and Phone Number

Principle Quantitative Analyst at Capital One @ Capital One
Bingyi(Brian) Li's Location
Washington DC-Baltimore Area, United States, United States
Bingyi(Brian) Li's Contact Details

Bingyi(Brian) Li work email

Bingyi(Brian) Li personal email

n/a
About Bingyi(Brian) Li

Growing Quant/DS, keen on analyzing data and learning new skills.

Bingyi(Brian) Li's Current Company Details
Capital One

Capital One

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Principle Quantitative Analyst at Capital One
Bingyi(Brian) Li Work Experience Details
  • Capital One
    Principle Quantitative Analyst
    Capital One Jan 2022 - Present
    Mclean, Va, Us
    View
  • Capital One
    Senior Quantitative Analyst
    Capital One Oct 2019 - Jan 2022
    Mclean, Va, Us
    View
  • Ford Motor Company
    Data Scientist
    Ford Motor Company Oct 2018 - Oct 2019
    Dearborn, Michigan, Us
    View
  • First Republic Bank
    Data Science Intern
    First Republic Bank Oct 2017 - Jun 2018
    San Francisco, Ca, Us
    View

Bingyi(Brian) Li Skills

R Data Analysis Design Of Experiments Machine Learning Statistics Python Sql Nosql Tableau Amazon Web Services Time Series Analysis Apache Spark Google Analytics Git Bash

Bingyi(Brian) Li Education Details

  • University Of San Francisco
    University Of San Francisco
    Data Science
  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    Statistics

Frequently Asked Questions about Bingyi(Brian) Li

What company does Bingyi(Brian) Li work for?

Bingyi(Brian) Li works for Capital One

What is Bingyi(Brian) Li's role at the current company?

Bingyi(Brian) Li's current role is Principle Quantitative Analyst at Capital One.

What is Bingyi(Brian) Li's email address?

Bingyi(Brian) Li's email address is br****@****one.com

What schools did Bingyi(Brian) Li attend?

Bingyi(Brian) Li attended University Of San Francisco, University Of Illinois Urbana-Champaign.

What skills is Bingyi(Brian) Li known for?

Bingyi(Brian) Li has skills like R, Data Analysis, Design Of Experiments, Machine Learning, Statistics, Python, Sql, Nosql, Tableau, Amazon Web Services, Time Series Analysis, Apache Spark.

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