Kartheek - IOS Developer with 3 months of Experience

CURRICULUM VITAE

Career Objective:

BOGGARAPU KARTHEEK

To work in a competitive environment that challenges

Email Id : my skills to its limits, so that I can utilize my

***********@*****.*** technical and interpersonal skills for company's

growth offering good leadership qualities.

Contact No:+91-953*******

Academic profile:

Permanent Address:

S/O B.Chandra sekhar, Under Graduation :-

H.NO.28/382, Stream

Ramalayam Street, : B. Tech (C.S.E)

Noonepalli,

Nandyal, Percentage

Kurnool, : 64.39%

Andhra Pradesh,

INDIA College

: AVR & SVR College of Engg. & Tech.

Personal Profile:

University

Name : B.KARTHEEK : J.N.T.U University

Father Name : Year of Passing

B.CHANDRA SEKHAR : 2012

DOB :

29-OCT-1989

Gender : MALE Intermediate :-

Nationality : INDIAN Stream

Marital Status : UNMARRIED : M.P.C

Language : ENGLISH, TELUGU

Hobbies : LISTENING SONGS, Percentage

: 72.3%

PLAYING CRICKET.

College

: Nalanda Jr. College

Board

: Board of Intermediate Education

Year of Passing

: 2008

SSC :-

Percentage

: 66.83%

School

: Nagarjuna High School

Board

: Board of Secondary Education

Year of Passing

: 2005

Academic Project:

Title : Analysis on Credit Card Fraud Detection Methods

Abstract : Due to the rise and rapid growth of E-Commerce, use

of credit cards for online purchases has dramatically increased and it

caused an explosion in the credit card fraud. As credit card becomes the

most popular mode of payment for both online as well as regular

purchase, cases of fraud associated with it are also rising. In real

life, fraudulent transactions are scattered with genuine transactions

and simple pattern matching techniques are not often sufficient to

detect those frauds accurately. Implementation of efficient fraud

detection systems has thus become imperative for all credit card issuing

banks to minimize their losses. Many modern techniques based on

Artificial Intelligence, Data mining, Fuzzy logic, Machine learning,

Sequence Alignment, Genetic Programming etc., has evolved in detecting

various credit card fraudulent transactions.

Skill Set:

. JAVA

. Objective-C 2.0

. IPhone OS/ Mac OS X : IPhone SDK (2.0 to 4.0

. IDE : XCode

Personal Skills:

. Logical Reasoning, Problem Solving Ability.

. Hard worker and Quick Learner.

. Capable of adapting to work on new systems & environments easily.

. Easy to work in a team environment with tight schedules and capable of

working efficiently under pressure.

Declaration:

I hereby declare that information and facts stated herein and above are

true and correct to the best of my knowledge and belief.

Date:

Place: Nandyal

B. KARTHEEK

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