Latest Resume

1. Prateek Rajan
206-University Village North Dakota State University, ND (979) 571-8873 prateek.rajan89@gmail.com
Objective
• Seeking a challenging internship position, starting spring 2013, for utilizing my skills and
qualifications.
Education
NORTH DAKOTA STATE UNIVERSITY – Fargo, ND
M.S. in Computer Science GPA: 3.71/4.0
UNIVERSITY OF JAMMU- Jammu, J&K, INDIA
B.S. in Information &Technology CGPA: 3.95/4.0
Technology Summary
Systems: Windows 9X/NT/2000/XP/7, UNIX, Mac OSX
Databases: SQL, Access
Languages: Visual Basic, SQL, HTML, ASP, C, C++, Java
Software: MS Office, Visual Studio, Eclipse
Relevant Experience
North Dakota State University – Fargo, ND
• Graduate Teaching Assistant, (Jan 2012-Present) Working as an instructor of “Business Use of
Computers”.
Wipro Ltd. – New Delhi, INDIA
• Associate Engineer (Trainee), (Aug 2011 –Oct 2011) I was trained in core networking issue; debug
& support. My group was a part of Verizon technical process.
Freelance Tutor & Web Developer- Jammu, J&K, INDIA
• Instructor for core JAVA, ASP.NET, VB.NET and C#. Also worked as a freelance web developer and
designer.
Relevant Projects
Face Recognition Using PCA (B.S) MATLAB
Worked on this project as a part of B.E thesis requirement. We wrote well-known PCA classifier in MATLAB.
Our system was able to identify faces from a database of existing faces given a face image as input. Our
system was robust enough to handle variance in facial expressions in input images. The project was
selected as the best B.S project in the department.
Linear Classifier to Recognize Numbers (MS) JAVA
Worked on development of system based on linear classifier that can recognize hand drawn numbers
between 0-9. We achieved 80 % recognition rate with the system.
SMS++ (MS) Visual C#
A software to provide basis internet functionalities like email access, calendar to the non-smart phone users
through SMS. My part of work was mainly concerned with website development & database management.

2. Hierarchy Generation for Online Reviews (MS)
For my final masters thesis I am working on developing an algorithm that can be used to create a hierarchy
from the online reviews about a particular product. The idea here is to generate and save only the relevant
hierarchies that can exist in a review rather than having to deal with whole of the review itself. For example
a review “The lens of this camera is awesome” can be represented in a hierarchal format as
Camera (product) lens (component) awesome (opinion).
Additional Information
Work Authorization Eligible to work in US on F1 CPT / OPT