Project School

M.SOMESHWARAN

Address: E-***,**th cross street, Email-Id: *************@*****.***

Thiruvalluvar Nagar, Mobile: 805-***-****

Thiruvanmiyur,

Chennai - 600041

Objective

To enhance my working capacities, professional skills, business efficiencies and to serve my organization in best possible way with sheer determination and commitment. Academic Profile

Course School/College Year of Passing CGPA/Percentage Master of Computer KCG College of 2015 6.95

Application (MCA) Technology

(Anna University)

Bachelor of Computer Hindustan College 2012 6.22

Application (BCA) of Arts & Science

(Madras University)

XII Sri Sankara 2009 60.75%

Matriculation

Higher Sec. School

Thiruvanmiyur

X Sri Sankara 2007 78.5%

Matriculation

Higher Sec. School

Thiruvanmiyur

Certifications

Android Programming at Besant Technologies

Advanced Diploma in JAVA Programming(ADJP) at CSC Computer Education Core blocks known in android programming

Intents, Fragmentation

Services, Broadcast messages, Push Notification, Threading

Sqlite database

Json Parsing

Google Maps

Technical Skills

Programming languages: Java, Android

Web Development: HTML

Operating systems: Windows XP, Windows 7,Windows 8

Database: MySQL,SQLite

Field of Interest

Android App Developing

Java Programming

MCA Main Project

Project Title: Mining E-commerce Feedback Comments Project description: Reputation-based trust models are widely used in e-commerce applications, and feedback ratings are aggregated to compute sellers’ reputation trust scores. The “all good reputation” problem, however, is prevalent in current reputation systems reputation scores are universally high for sellers and it is difficult for potential buyers to select trustworthy sellers. In this project, based on the observation that buyers often express opinions openly in free text feedback comments, we propose commtrust for trust evaluation by mining feedback comments. Our main contributions include: we propose a multidimensional trust model for computing reputation scores from user feedback comments; and we propose an algorithm for mining feedback comments for dimension ratings and weights, combining techniques of natural language processing, opinion mining, and topic modeling. Extensive experiments on eBay and amazon data demonstrate that commtrust can effectively address the “all good reputation” issue and rank sellers effectively. To the best of our knowledge our research is the first piece of work on trust evaluation by mining feedback comments.

Company: Jemi cluster (Pazhavanthangal)

Duration: 6 months

Language: Java, HTML

Server: SQL server 2008

Concept: Data Mining

Algorithm: Stemming, Stop Word Removal, POS Tagging Implementation: Online Websites

Users: Buyers

Soft Skills

Listening Skills

Communication skills

Adoptable in any working environment

Willingness to learn new things

Extra-curricular activities

Won prizes in Sudoku competition & dance at school & college

Certified in Musical instrument (Guitar)

Personal Information

Date of Birth : 23-10-1991

Sex : Male

Marital status : Single

Strength : Job-Specific, personal characteristic, flexibility, adjustable Hobbies : Listening to music, reading books, dancing, playing guitar. Date: Sincerely

Place: Chennai (M.Someshwaran)

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