RESUME

SOWMYA.P e-mail : ac0erz@r.postjobfree.com

phone : +91-998*******

OBJECTIVE:

Seeking a challenging position and a satisfying career to utilize my skills and abilities in the Information Technology industry that offers professional growth while being ingenious, innovative and flexible.

TECHNICAL SKILLS:

• Programming Languages: Java & J2EE,C,C++.

• Web Technology: HTML, XML.

• RDBMS: Mysql, Oracle 9i/10g.

• Development Tools:Eclipse, Edit plus,MAT Lab.

EDUCATIONAL QUALIFICATIONS:

Degree : M.Tech

Branch : Computer Science & Engineering

Institute : U.B.D.T.C.E (Affiliated to VTU, Belgaum).

ACADEMIC DETAILS:

Degree

Institution

Year of passing

percentage

M.tech

U.B.D.T.C.E,Davangere

2016

70.12

B.E

S.J.M.I.T,Chitradurga

2012

61.00

PUC(BSE)

JawaharNavodayaVidyalaya, Uduvalli

2008

63.33

SSCL(CBSE)

JawaharNavodayaVidyalaya, Uduvalli

2006

67.00

International/National Paper Publication

Published a paper titled video annotation and retrieval system using SIFT & HOG

features at IJRCCE on 30th April 2016.

CERTIFICATION OBTAINED:

Participation certificate of the Workshop on “J2EE and Advanced Concepts of JAVA” by IBM.

Participation certificate of the State wide Engineering IT Quiz by TCS TECH BYTES & Tata Consultancy Services.

Course completion certificate in JAVA and J2EE .

Participation certificate of the Workshop on BIGDATA AND HADOOP.

INTERNSHIP: Worked as intern in BSNL(Bangalore, CTO)

Designed and developed the tariff planof BSNL application using customer service provider. In this the software’s used java,eclipse, android SDK with My Sql.

ACADEMIC PROJECT: (4th Semester)

Title: Video annotation and retrieval system using SIFT and HoG features

As multimedia content increasing a lot, to retrieve and analyse large amount of video data efficient methods are required. For analyses and retrieval of this huge data video annotation is widely used. Video annotation in a bit complex one as it need to process a large amount of data for analyse the video content. The SIFT and HoG features of the images are extracted and used for training the classifiers for doing a comparison on performance of the classifiers. An analysis of the results will be taken to find which feature is better to train the classifier for getting more prominent annotated video database. Retrieval of the videos based on objects from the annotated video database will be done.

PERSONAL DETAILS:

Address:

D/O Prakash V,

Pagadalabande

Challakere (Tq)

Chitradurga (D)

Pin Code: 577522

Languages: English, Hindi, Kannada.Telugu

DECALRATION

I hereby declare that the above written particulars are true to the best of my knowledge and belief. (Sowmya.P)

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