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Cornelius Myles
Undergraduate Tutor, Missiissippi Valley State University MCIS Department
Location: Marks, MS United States
Joined: Mar 23rd, 2013

About (request update)

Education (request update)

Mississippi Valley State University class of 2013

Undergrad Major: Computer and Information Science

Experience

I currently work with Missiissippi Valley State University MCIS Department as Undergraduate Tutor
I have years of experience working in the Other industry.

Tutor | Mississippi Valley State University Mathematics, Information & Computer Science Department
From January 2009 to Current • 17 year(s)
Provided tutoring services in mathematics, information and computer science subjects.

Career Peer | Mississippi Valley State University Career Services Center
From January 2009 to Current • 17 year(s)
Provided career guidance and support services to students.

Scholar Intern, InformaticsâCybersecurity | Indiana University
From June 2012 to August 2012 • 0 year(s)
Conducted research for security project on three-dimensional localization using Android sensor data and created Android application calculating phone travel distance.

Research Assistant | Mississippi Valley State University Mathematics, Information & Computer Science Department
From January 2011 to December 2011 • 0 year(s)
Supported research activities in mathematics and computer science department.

Student Assistant | Mississippi Valley State University Mathematics, Information & Computer Science Department
From January 2009 to December 2011 • 2 year(s)
Assisted department with various academic and administrative tasks.

Scholar Intern, Informatics DepartmentâCybersecurity | Indiana University
From June 2011 to August 2011 • 0 year(s)
Worked on identifying uniqueness in high dimensional social science datasets alongside the Kinsey Institute, achieving 98% population re-identification.

Scholar Intern, Informatics Department | Indiana University
From June 2010 to August 2010 • 0 year(s)
Completed data point visualization research, converting data from two dimensional to three dimensional format using K-means clustering.

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