software developer

RESUME

M.govindarajlu

E mail id: ******.******@*****.***

Contact No. : +91-833*******

CAREER OBJECTIVE

To strive for achieving a challenging position in a dynamic organization with dedication, focus, proactive

approach, positive attitude and passion and to utilize my knowledge and skills in the best possible way for

the fulfillment of organizational goals.

EDUCATION QUALIFICATION

S.NO Qualification School/college Year Aggregate%

1 SSC CORPN HS APPASAMY LANE, 2005 52

CHENNAI

2 DIPLOMA- AL-HUDA POLYTECHINIC 2011 67.7

CSE FOR MINORITIES,NELLORE

3 B.TECH-CSE SRINIVASA INSTITUTE OF 2014 54.3

TECHNOLOGY AND

MANAGEMENT

STUDIES,CHITTORE

ACHIEVEMENTS

Participated in workshop on web technology PHP and mongo db

TECHNICAL SKILLS

Languages : Basics of C,Html,java.

DBMS package : oracle

Operating Systems : Windows /XP/07

PERSONAL SKILLS

Able to work with team, eager to learn things.

Dedication to work

Language known: Tamil, English (able to speak, read and write), Telugu.

PROJECT WORK:

Title : A Fast Clustering Based Feature Subset Selection Algorithm

Description:

Feature selection involves identifying a subset of the most useful features that produces

compatible results as the original entire set of features. A feature selection algorithm is evaluated

from both the efficiency and effectiveness points of view. While the efficiency concerns the time

required to find a subset of features, the effectiveness is related to the quality of the subset of

features. The FAST algorithm works in two steps. In the first step, features are divided into

clusters by using graph-theoretic clustering methods. In the second step, the most representative

feature that is strongly related to target classes is selected from each cluster to form a subset of

features. Features in different clusters are relatively independent; the clustering-based strategy of

FAST has a high probability of producing a subset of useful and independent features. To ensure

the efficiency of FAST, we adopt the efficient minimum-spanning tree (MST) clustering method.

PERSONAL DETAILS

Name : M.govindarajlu

Sex : Male

Father’s Name : v.muthu

Date Of Birth : 28-05-1990

Nationality : Indian

Address : #4-9-11a,

Beripeta,

Naidupeta,

Nellore-524126. (A.P)

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 :

DATE : Yours truly

(M.govindarajlu)

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