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Sql Server Information

Location:
Hyderabad, Telangana, India
Salary:
No
Posted:
December 13, 2016

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Resume:

RESUME

MANYAM ANITHA

E-mail: m **************@*****.***

Contact No: +919*********

To enhance my working capacities, professional skills, business Efficiencies and to serve my organization in best possible way with sheer determination and commitment. Qualification Institution/Place University/Board Year of passing

Aggregate

MCA Sri Venkatesa Perumal

College Of Engineering

And Technology-Puttur

Jntu –Anathapoor

University

2015 76%

B.S.C(MPCSC) Seshachala Degree

College-Puttur

Sri Venkateswara

University

2012 75%

INTERMEDIATE/+

2

Sri Sai Jyothi Junior

College-Puttur

State Board Of

Andhra Pradesh

2009 65%

X Class Sesha Sai High

School-Puttur

Board Of

Secondary

Education A.P

2007 83%

Programming Language : C, C++, Core Java

Technical Skills : NETWORKING

Operating System : Windows

Database Software : SQL Server

Web Technologies : HTML, XML,ASP.NET,JAVASCRIPT

Tools : Visual Studio 2012

Packages : MS-Office 2003/2007

e

RESUME

Project Name : A PROBABILISTIC APPROACH TO STRING TRANSFORMATION

Environment : Windows 7, .java, SQL My sql.

Description : Many problems in natural language processing, data mining, information retrieval, and bioinformatics can be formalized as string transformation, which is a task as follows. Given an input string, the system generates the k most likely output strings corresponding to the input string. This paper proposes a novel and probabilistic approach to string transformation, which is both accurate and efficient. The approach includes a set of a log linear model, a method for training the model, and an algorithm for generating the top k candidates, whether there is or is not a predefined dictionary. The log linear model is defined as a conditioned probability distribution of an output string and a rule set for the transformation conditioned on an input string. The learning method employs maximum likelihood estimation for parameter estimation. The string generation algorithm based on pruning is guaranteed to generate the optimal top k candidates. The proposed system is applied to correction of spelling errors in queries as well as reformulation of queries in web search. Experimental results on large scale data show that the proposed approach is very accurate And efficient improving upon existing methods in terms of accuracy and efficiency in different settings.

● Can work effectively in a team environment as well as individually.

● Flexible and Adaptable

● Class C ommittee Member during Post Graduation.

● Date of Birth : 10/09/1990

● Hobbies : listening songs, reading devotional books

● Strengths : P ositive Attitude

P roactive Nature

RESUME

Good Team Member

Flexible in any environment

Willingness to Work as well as Learn.

Positive thinking

● Permanent Address : M.Anitha,

D/O. Late M. Kumaraswamy

D/No 11-1 29A Water Tank Street

Puttur-5 17583

Chittoor [Dist]

Andhra Pradesh

I here by declare that the above mentioned information is correct up to my knowledge and I bear the responsibility for the correctness of the same. Date:

Place Name: M.ANITHA



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