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Administrator Java

Location:
HYD, AP, 500018, India
Posted:
June 27, 2013

Contact this candidate

Resume:

POLURI ANUSH KRISHNA

E-mail:anushpoluri.*@gmail

.com EDUCATION:

Corresponding Address: Course

D.no:18-3-29/6, Institute

Near sadavamma hostel, Year of passing

Sattenapalli-522403, Aggregate

Guntur(d.t).

B. Tech

Mob:91-988******* (IT)

Nalanda Institute of Engineeringand Technology,

Date of Birth:24-12-1991 Sattenapalli

2013

65.7%

Sex :Male

Nationality : Indian Intermediate

(M.P.C)

Languages Vidyakendaram junior college,

:Telugu,English,Hindi Sattenaplli.

2009

64.4%

Martial Status : Single

S.S.C

Hobbies : Sri Saraswathi Sisu Mandhir, Sattenaplli.

Playing games like 2007

caroms,kabaddi, 71.83%

Watching entertainment

channels.

Career Objectives:

To work in a professional PROGRMMING SKILLS:

environment where I can

contribute myself and Languages : C, C++, JAVA

enrich my skills according Databases : Oracle10g (SQL)

to the latest technologies Scripting Languages : HTML, JavaScript

and to work towards

achieving the organization

goals.

STRENGTHS:

Quickly adaptive to new environments

Self confident and highly motivated

Positive attitude and good at decision making

Good Communication

Good on basics and technically strong

ACADEMIC PROJECT:

Title : RESILIENT IDENTITY CRIME DETECTION

Platform : JAVA

Organization : TRYLOGIC SOFT SOLUTIONS

Duration : 30 DAYS

Software : JAVA,HTML,JSP

Description :

It was designed and developed totally in-

house at our college premises. RESILIENT IDENTITY CRIME DETECTION is a

wonderful and must need application/software that will be useful to present

banking systems .By deploying this application in banking sectors

eliminates fraud occurrences in any case.

To address the limitations in credit

application fraud detection we have used two algorithms. They are:-

1.COMMUNAL DETECTION 2.SPIKE DETECTION ALGORITHMS.

Communal detection algorithm is the white list-oriented approach on a fixed

set of attributes. This algorithm is used to detect fraud occurrences in

loan applications. Spike detection algorithm is works based on a suspicion

score and is probe resistant for attributes.

The entire system was designed with

access provided to 2 levels of users,the administrator and user. The

administrator has a major role to play on the application. Administrator

can Allots time slot to contact with the bankers, Checking and verifying

documents via online, Sending status of submitted applications and

purchase.User can apply for the loan, credit cards, and to open an account

.Checking status of applied forms. Shopping online if any .

I here by declare that all the above details

furnished by me are true to the best of my knowledge and my career.

Date:

Place: (P.ANUSH KRISHNA)



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