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ios developer

Location:
India
Posted:
August 08, 2014

Contact this candidate

Resume:

Objective

BALAJI.N.B To secure a challenging position where I can effectively

implement my skills to parallel growth along with

Contact number: 995-***-**** companies, possessing good technical skills and to work

as a key player in an good environment.

Email ID

Academic Profile

******.******@*****.*** Course

**************@*****.*** Institution/Board

Percentage

Communication Address

B.E - Computer science and Engineering

112,Trunk Road, (2010-2014)

Poonamalle,

Chennai-600056. Sakthi Mariamman

Engineering College, Chennai.

ANNA UNIVERSITY

Personal Information 6.705

(CGPA)

Father name

Babu.R

Date of Birth XII

15.10.1992 (2010)

St Joseph matric

Age Hr sec school

21 (Matriculation)

63.58

Sex

Male

Nationality X

Indian (2008)

Mother Tongue Telugu

Jaya Jaya Sankara

Linguistic ability International School

(CBSE)

English,Telugu,Tamil

Hobbies 62.6

Listening Songs. Computer Proficiency

Playing Carom

Languages : C, C++, Objective

C.

Database : SQL.

Operating Systems : Windows OS,MAC.

Area of Interest

OOPS Concept.

Software Engineering.

Technical Skills

Excellent Understanding of iOS SDK and XCode.

Design Pattern and Cocoa touch framework.

Excellent Understanding of Views, Actions and Outlets.

Using Webservices, Audio and Video Frameworks.

SQLite and Core data Framework.

Personal Skills

Good verbal and written communication skills.

Hard worker.

Comprehensive problem solving abilities.

Certification

Pursuing a certification in iOS application

development with Objective C language at Accord Info Matrix, Chennai.

Achievements

Presented paper on the Smart TV-Implementation of Sim card Network in

National Level Technical Symposium held in Madha institute of engineering &

technology.

Academic project

Project : Determining the category of the document using k-

means.

Language of implementation: C#.net

Description

This project is mainly implemented for the purpose of categorizing the

dataset given in the specified document. The different documents are merged

into a single document and the dataset given in the documents are analyzed

and the categorized. The categorized data's are stored in the database. The

K-Means clustering is used to categorize the data.

Declaration

I hereby declare that the above-mentioned information is correct up

to my knowledge and I bear the responsibility for the correctness of the

above-mentioned particulars.

Place: Chennai (BALAJI.N.B)

Date:



Contact this candidate