ANUPRIYA K

Email id: aczlos@r.postjobfree.com

Mobile No: +91-944*******

CAREER GOAL

To work for an organization which provides me the opportunity to improve my skills and

knowledge to growth along with the organization objective.

Academic Education:

M. E (Computer Science and Engineering) with aggregate 81.7% from University College of

Engineering, Thiruchirappali in 2016.

B. Tech (Computer Science and Engineering) with aggregate 73.6% from V.R.S College of

Engineering and Technology, Villupuram in 2013.

10+2 passed with aggregate 80.3% from Government Girls Higher Secondary school,Villupuram in

2009.

10th with aggregate 75.8% from St.Xaviers Matriculation School,Villupuram in 2007.

Certifications:

Completed courses in C and JAVA language.

Software Skill Set:

Web Technologies : HTML5 CSS BOOTSTRAP JAVASCRIPT

Database : MYSQL

Languages : C JAVA

IDE Tools : Netbeans

Operating Systems : Windows, Ubuntu

Data Mining Tools : R, WEKA

Soft Skills:

Good Communication skill.

Good verbal and written skills.

Inplant Training:

ACCEL [IT ACCADEMY], Pondicherry.

Blue-chip Software System, Coimbatore.

Wipro Limited, Pondicherry.

Professional Development:

Had attended Workshop in Web & Mobile Application Development Using Android and

J2EE, Weka Tool and Python.

Publications:

BalaAnand M, Anitha D, Anupriya k(2013), Security Privilege Using Selective Index in Session

Based Password Validation, International Journal of Research in Engineering & Advanced

Technology(IJREAT), Vol. 1,No. 1, pp. 1-6.

C. Kanimozhi, K. Anupriya (2016), Online Scam Detection using Deep Learning, International

Journal of Engineering Research & Technology (IJERT), Vol. 4,pp. 142-148.

K. Anupriya, C. Kanimozhi (2016), Predicting Eshopping data using Deep Learning, Middle -East

Journal of Scientific Research 24 (SI), pp. 250-256.

Project Undertaken:

M.E Project(2015-2016)

Project Title: Predicting eshopping data using Deep Learning in Big Data domain.

Backend : MYSQL

Tool: R

DESCRIPTION

This project is about the capability of neural network which helps in the area of online fraud detection

using deep learning algorithm.

Users can be obtained a high fraud coverage.

https://www.idosi.org/mejsr/mejsr24(S1)16/44.pdf

B.E Project(2012-2013)

Project Title: Credit Card Fraud Detection Using Hidden Markov Model.

Front End : ASP.NET (C#)

Back End : MYSQL

DESCRIPTION

This project is implemented for engendering the session passwords.

This is developed as web applications or an external gateway authentication to connect the

applications.

Personal Profile:

Permanent address : #11/4, Thirupugal Street, keelperumbakkam,Villupuram

Date Of Birth : 09.08.1992

Marital Status : Single

Nationality : Indian

Linguistics abilities : Tamil, English, Hindi (Read/Write)

DECLARATION

I hereby declare that the above cited information is true to the best of my knowledge and belief,

if given a chance, I can prove myself.

PLACE : VILLUPURAM [ANUPRIYA.K]

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