Project Engineering

KAVIYA.R

No: **, Pillayar Kovil Street,

Pallavan nagar, Nerkundram,

Chennai-600107.

Contact number: 909-***-****

********************@*****.***

Carrier objective

To work in a challenging environment and to build up carrier in

a well managed

organization, where I can contribute myself to the growth of the

organization and improve my knowledge.

EDUCATIONAL QUALIFICATION

Course Discipline/ Name of Board/ Year of Percentage

Specializatio Institution University passing

n

HSC Computer Lbeaar matric

Science hr.sec school State 2010 72.60

Board

SSLC Mathematics Lbeaar matric Matriculat 2008 82.60

hr.sec school ion

Technical Skills

Excellent Understanding of iOS SDK and

XCode.

Design Pattern and Cocoa touch framework.

Excellent Understanding of Views, Actions and

Outlets.

Using Web services, Audio and Video Frameworks.

SQLite and Core data Frameworks.

PERSONAL SKILLS

A good team player.

Self motivated with strong organizational skills.

AREA OF INTEREST

OOPS Concept.

Software Engineering.

COMPUTER PROFICIENCY

Programming Languages : C, C++, Objective C.

Platforms : Windows OS, MAC.

Database : SQL.

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.

Presented paper on the Sentiment analysis and classification

using fuzzy set

theory in National Conference on Technology for skill development held in

Sakthi Mariamman engineering college.

ACADEMIC PROJECT

Project : Sentiment Analysis and Classification using Fuzzy Set

Theory.

Language of implementation: ASP.net

Description:

This project is mainly implemented for the purpose

of categorizing the reviews given for specified products. The customer

reviews for various products are collected and stored in database then

stemming process for the given document is performed and using Fuzzy set

theory, the reviews are categorized as positive, negative or neutral

reviews. The graphical representation of various customer reviews for a

specified product is displayed.

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:

Yours Faithfully,

Date:

(KAVIYA.R)

Contact this candidate