Russell Kim Email and Phone Number
Machine Learning Researcher
at
Xaipient
Russell Kim's email is russellkim98@gmail.com
and
Russell Kim's phone number is +1609-356-8385
.
Russell Kim Contact Details
Email
russellkim98@gmail.com
Phone
+1609-356-8385
Russell Kim's Current Company
Xaipient
|
Industry | Computer Software |
|
Founded | - |
|
|
Industry | Computer Software |
|
|
Founded | - |
Russell Kim's Experience and Education
Work Experience
Formal Services Agency
Associate Director
2018-04 to Unknown
Debate Team
Leader
2013-09 to 2016-06
Data Analyst At Castle Labs
2017-04 to 2018-04
Princeton, New Jersey, United States
Aperio Data Modeling And Machine Learning Intern
2018-06 to 2018-08
Stamford, Connecticut, United States
Education
Pinetree Secondary School
2013 to 2016
Port Moody Secondary School
2012 to 2013
Frequently Asked Questions about Russell Kim
What company does Russell Kim work for?
Russell Kim works for Xaipient
What is Russell Kim's role in his workplace?
Russell Kim's role in his workplace is
Machine Learning Researcher .
Which industry does Russell Kim work in currently?
Russell Kim works in the industry
Computer Software.
What is Russell Kim's email address?
Russell Kim's email address is russellkim98@gmail.com
What is Russell Kim's direct phone number?
Russell Kim's direct phone number is +1609-356-8385
What schools did Russell Kim attended?
Russell Kim attended
Princeton University,
Simon Fraser University,
Pinetree Secondary School,
Port Moody Secondary School,
and
Princeton University.
What are some of Russell Kim's interests?
Russell Kim has interests in
Science And Technology,
and
Economic Empowerment.
What are some of Russell Kim's skills?
Russell Kim has skills like
Java,
Mathematics,
R,
Research,
Violin,
Tennis,
Music,
Matlab,
Machine Learning,
and
Python.
Who are Russell Kim's colleagues?
Russell Kim's colleagues are
Elaine Li,
Youchun Zhang,
Elaine Li,
and
Youchun Zhang.
Who are Russell Kim's peers at other companies?
Russell Kim's peers at other companies are
Zach Yao,
Yoohwan Kwon,
Mohamed Malhou,
Zahid Afridi,
Wonyong Jeong,
Adalbert Mwombeni,
and
Rhaf Moute.
Related Employees
Machine Learning Researcher
at
