software developer

S.M.ARUL ARASI

Email : ***********@*****.***

Mobile : +91-868*******

Present Address:

No.159,Pillaiyar koil st,

Pattaraiperumbudur

Thiruvallur - 631203

Personal Information:

Father’s name : Mr.S.Manohar

Date of Birth : 20.05.1993

Age : 22

Gender : Female

Marital Status : Single

Languages : English & Tamil

Hobbies:

Gardening

Listening Music

Cooking

Watching TV

Personal Traits:

Self-Confidence

Hard worker

Dedicated

Trust worthy

Flexible

CAREER OBJECTIVE:

To acquire a demanding position in an environment where I can utilize my skills and education for the growth of the organization.

ACADEMIC PROFILE:

UG:

Course : B.E (Computer Science Engineering)

College : Indira Institute of Engineering & Technology

Percentage : 7.35 CGPA

Year of passing : 2014

HSE:

School : Sri Lakshmi Higher Secondary School

Percentage : 66.25%

Year of passing : 2010

SSLC:

School : Sri Lakshmi Higher Secondary School

Percentage : 83.30%

Year of passing : 2008

SOFTWARE EXPOSURE:

Programming tool : C, C++, Oracle, Java, HTML.,

Ms-Office Package

AREA OF INTEREST:

Java

Oracle

HTML

Professional Experience .

Worked as a Lab Instructor in Saveetha Engineering College, Thandalam for 6 months.

Key Skills:

Taken care of lab classes ( Program Execution & Error debugging), lab record maintenance.

Taken care of inspection related lab documents.

Responsible for HoD office documents.

PROJECTS:

“QOS RANKING PREDICTION FOR CLOUD SERVICES”

DESCRIPTION:

Cloud computing is becoming popular. Building high-quality cloud applications is a critical research problem. QoS rankings provide valuable information for making optimal cloud service selection from a set of functionally equivalent service candidates. To obtain QoS values, real-world invocations on the service candidates are usually required. To avoid the time-consuming and expensive real-world service invocations, this paper proposes a QoS ranking prediction framework for cloud services by taking advantage of the past service usage experiences of other consumers. Our proposed framework requires no additional invocations of cloud services when making QoS ranking prediction.

DECLARATION:

I here by declare that all the information furnished above is true to the best of my knowledge.

Place: Thiruvallur

Date: (S.M.ARUL ARASI)

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