1. SSUUSSHHAANNTTAA KKUUMMAARR SSAAHHOOOO
Email-: sushantakumarsahoo01@gmail.com
Mobile No-: +91 8892310725
BB..TTEECCHH ((CCOOMMPPUUTTEERR SSCCIIEENNCCEE && EENNGGIINNEEEERRIINNGG)) FFRREESSHHEERR
OBJECTIVE: To contribute to the organization’s growth with my abilities, hard work and
perseverance. Grow and learn at the same time.
PROFILE
 Graduated in June 2015 from Seemanta Engineering College, Jharpokharia, Mayurbhanj, Odisha
 Keen learner and team player with ability to work comfortably with people from diverse backgrounds and
experiences
 Good communication skills and capability to build long lasting/ mutually beneficial relationships.
 Self motivated, hard working and goal-oriented, with a high degree of flexibility, resourcefulness and
commitment.
 Tech Savvy and Multilingual with proficiency in English, Hindi and Oriya.
EDUCATION & PROFESSIONAL DEVELOPMENT
B. Tech (Computer science & Engineering), 2015
Seemanta Engineering College, Mayurbhanj,Odisha With 7.3 CGPA
Intermediate Science(+2),2011,Upendranath College Soro,Baleshwar
CHSE,Odisha with 71%
BSE(Odisha), 2009, Bhikari Charan High School,Tentei,Soro,Baleswar
Odisha With 72 %
COMPUTER PROFICIENCY
 Language : C, C++, Core Java
 Database : Oracle 11g(SQL)
 Software : Ms Office, Matlab
 Knowledge of HTML, JAVASCRIPT, PHP
ACADEMIC ACHIEVMENTS
 I have achieved Merit Based Scholarship through out my all academic carrier (BSE, CHSE, BPUT) .
 Successfully Completed ORACLE 11g SQL at SEEMANTA ENGINEERING COLLEGE,MBJ,ODISHA
 Participated in My SQL Training Programmed held between 10th October 2013 to 10th April 2014 at
SEEMANTA ENGINEERING COLLEGE,MBJ.,ODISHA

2. ACADEMIC PROJECTS
Topic : “ OBJECT SHAPE RECOGNITION ”
Organization : SEEMANTA ENGINEERING COLLEGE,JHARPOKHARIA,MAYURBHANJ,ODISHA
Objective :
We tend to classifyeach object like a ball is spherical; a notebook is rectangular and so on using our senses.A machine
like computer does not have senses to recognize or even detect an object. We have to train or develop an algorithm for a
machine like computer to do so. The approach here is to classify some of the common objects around us and decide
whether they belong to any geometric shape or not. The shape of the objects can be represented by s ome feature space
which may be used for recognizing shape of the objects. We use the corner detection method, signature method and
chain code method to achieve a good recognition. The corner detection method is based on detecting corners on the
boundary and then deriving the feature vector from the distance between the corners. The signature method is based
on the distance of the boundary points from the centre of the object and all those distances from the feature vector. The
chain code method is based on finding the chain code of the object and then finds the histogram of it, which forms the
feature vector. The purpose of this thesis is to use all the three methods of recognition and visualize their performances .
Software Used : Latex, Matlab
EXTRA CURRICULAR ACCOLADES
 I have achieved National Royal Talent Scholarship in academic year 2007.
 Attended SQL Exam, Organized by Oracle University in academic year 2014 and secured 85%.
 I Was a Member of NSS at SEEMANTA ENGINEERING COLLEGE, JHARPOKHARIA, MBJ., ODISHA.
PERSONAL DETAILS
Gender Male
Nationality Indian
Date of Birth: 31th December, 1993
Interests/Hobbies Internet surfing, photography, Listening music, Reading Newspaper
Languages Known English, Odia and Hindi
Email sushantakumarsahoo01@gmail.com
Mobile No +91 8892310725
ADDRESS FOR CORRESPONDENCE.
C/O-Sai Srinivas PG, First Floor(202)
#132, CKB Layout
Munnekolala, Marathahalli
Bangalore-560037
PERMANENT ADDRESS.
S/O- Mr Parsuram Sahoo
At/Po- Tentei, PS-Soro
Dist- Baleswar, Pin-756046
Odisha.
Declaration : I hereby affirm that the information in this document is accurate and true to the best of my knowledge and
belief.
Date:
Place: (Sushanta Kumar Sahoo)