Java,j2ee,Manual Testing,QTP

Raghava Reddy M

+91-901*******

*********@*****.***

Objective

To seek challenging assignment and responsibility, with an opportunity for growth and career

advancement as successful achievements.

Education

Board / Year of Percentage

Course Institute

University Passing B.Tech P.B.R.VITS J.N.T.U.

2014 68 %

(E.E.E) College, Kavali Ananthapur

Intermediate Sri Sai Junior Board of

(M.P.C) College, Kavali Intermediate 2010 82.6 %

Education

S.S.C Minerva High Board of

(10th) School, Kavali Secondary 2008 75 %

Education

Technical Qualification

Java Programming

• Core Java

• Advanced Java

Software Testing

• Manual Testing & Automation Testing

• QTP, Selenium, LoadRunner (Automation Testing Tools)

Technical Proficiency

Web Technologies Java, Servlets 2.2, JSP 1.1

Database SQL Server 2005

Framework Hibernate (Java)

Web Server Tomcat

IDEs Eclipse, MyEclipse, NetBeans

Software Testing QTP, Selenium, Load Runner

Operating System Window XP and Higher Versions

Professional Achievements

• Participated in NATIONAL level Technical Workshop on MATLAB in K. L. UNIVERSITY,

Vijayawada.

• Participated in NATIONAL level Technical Meet on the Topic NUCLEAR FUSION in

SUNFLOWER ENGINEERING COLLEGE, Vijayawada.

• Participated in NATIONAL level Technical Meet on the topic GEOTHERMAL ENERGY in QIS

ENGINEERING COLLEGE, Ongole.

Academic Project / Seminars

Project:

Fast Adaptive Kalman Filtering Algorithm for Speech Enhancement

The main objective of this project is to develop a fast speech enhancement method for noisy

speech signals which is based on improved Kalman filtering. The conventional Kalman filter

algorithm for speech enhancement needs to calculate the parameters of AR (auto-regressive)

model and perform numerous matrix operations, which usually is non-adaptive.

The speech enhancement algorithm proposed in this project eliminates the matrix operations and

reduces the calculating time by only constantly updating the first value of state vector X(n). We

designed a coefficient factor for adaptive filtering, to automatically amend the estimation of

environmental noise by the observation data. Simulation results show that the fast adaptive

algorithm using Kalman filtering is effective for speech enhancement.

Personal Details

Door No. 6-1A-14, Sapota Thota,

Kavali,

Permanent Address

Nellore (Dist.), Andhra Pradesh -

524201.

Date of Birth 04/02/1992

Gender Male

Languages Known English, Hindi, Telugu.

Raghava Reddy M

Declaration:

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

Date:

Raghava Reddy M

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