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CURRICULUM
VITAE
P.Pavani,
Career Objective:
To obtain a
challenging career in the field of Computer using my Knowledge, Programming and
Problem solving skills and constantly improve them so that I can see myself in
a position to undertake increased responsibilities.
Educational Qualifications:
Ø
B.TECH in Information Technology (2008-2012) from Jawaharlal Nehru Technological University (JNTUH) standing at 84% aggregate.
Ø
Intermediate (2006-2008): Board of intermediate education with
78% aggregate.
Ø
S.S.C (2006): Board of
secondary education with 73% aggregate.
TECHNICAL SKILLS:
Software :
MS Word, MS PowerPoint, MS Excel.
Programming Languages : Basics of C & Data Structures, C++ .
Database : SqlSever2008.
Operating System : windows XP, windows7.
PERSONAL SKILLS:
Ø
Ability to work independently or in a team
environment.
Ø
Self-starter with drive and desire to grow with
the company.
PROJECT 1 :
Title : Examination
& Evaluation Management System(Real Time Project)
Tools used :
.Net
Duration : 2Months
Team : 3 Member’s
Aim:
The aim of the project is to design a comprehensive web enabled application
for management of the
Examination Process.
Description:
This is the project on examination evaluation management system which gives
the facility to easily and marks of every student in their database and
generate the hardcopy. The marks evaluation module can be configured to execute
the branch wise student’s performance. Also keep the information about various
dues on the students, examination fees paid or not, late information,
certificate issues, status memo issues status and related information’s. This
module will help staff to identify the weak students in particular subjects,
number of backlogs in a semester, %marks scored in year over all %marks of the
students.
PROJECT 2 :
Title : Social Security Number(SSN).
Tools used : .Net,
Duration :
45days
Team : 3 Member’s
Description: Information about an individual's place and date of
birth can be exploited to predict his or her Social Security number (SSN).
Using only publicly available information, we observed a correlation between
individuals' SSNs and their birth data and found that for younger cohorts the
correlation allows statistical inference of private SSNs. The inferences are
made possible by the public availability of the Social Security
Administration's Death Master File and the widespread accessibility of personal
information from multiple sources, such as data brokers or profiles on social
networking sites. Our results highlight the unexpected privacy consequences of
the complex interactions among multiple data sources in modern information
economies and quantify privacy risks associated with information revelation in
public forums.
Awards :
|
I participated in
throwball and got 1st prize on occasion of annual day.
|
I participated in slow cycling and got 1st prize.
|
I am member of CSI
I participated in ANDROID
workshop.
|
I secured four
prizes as a class topper in B.Tech.
Personal
Profile :
Declaration:
I
hereby declare that the above-mentioned information is correct up to my
knowledge and I bear the responsibility for the correctness of the
above-mentioned particulars.
Place:
Hyderabad.
(PAVANI.P)
Date:
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