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[QUOTE=Guest-IJT;140878][B]Name [/B]: ramulu
[B]Email [/B]: ramulu.nagaraju AT gmail.com
[B]Designation / Skillset[/B] : Software developer,.net,.net,sql server
Hi Sir,
 This is Ramulu Nagaraju,I completed my mca 2010.I am looking for a job.

[U][B]Resume[/B][/U] :
 Career Objective
 To work in quality environment where I can use my knowledge and skills  to my best extent and develop elegant quality software and keep right  touch with ever changing trend and technologies in the field.
¬¬
Scholastic Credentials
- M.C.A from Anna University (2007-2010) with 75%
- B.Sc (MPC) from Nagarjuna University (2004-2007) with 67%
- Intermediate from Board of Intermediate Education (2002-2004) with 67%
- S.S.C from Board of Secondary Education ( 2001-2002) with 72%
Personal Strengths
- Good inter personal skills, commitment and hard working with a quest and zeal to undertake challenging tasks.
- Quick-grasping and Self-Learning professional and adapt myself to any  surrounding very quickly with a commitment to strive relentlessly, to  constantly improve so as to become the best.
- Good communication skills with Integrity and Transparency
Software Skills
[B]- Operating Systems  [/B]: WINDOWS XP, LINUX.
[B]- Programming Languages  [/B]: C,C++ & C#.NET
[B]- Data Base Applications  [/B]: SQLSERVER 2008, ORACLE 11g.
[B]- Web Design Language  [/B]: HTML &ASP.NET
[B]- Packages  [/B]: Ms-Office
 Achievements
- I was topper in the class in SSC.
- I was topper in Mathematics in Intermediate.
- I got the prize money in quiz program in Degree College.
Academic project
 
 [B]Title  [/B]: Optical Character Recognition using Artificial Neural Networks
[B]Duration  [/B]: December 2009 to June 2010
[B]Technology  [/B]: MS.NET
[B]Description  [/B]:
 The central objective of this project is demonstrating the capabilities  of Artificial Neural Network implementations in recognizing extended  sets of optical language symbols. The applications of this technique  range from document digitizing and preservation to handwritten text  recognition in handheld devices.
 The classic difficulty of being able to correctly recognize even typed  optical language symbols is the complex irregularity among pictorial  representations of the same character due to variations in fonts, styles  and size. This irregularity undoubtedly widens when one deals with  handwritten characters.
 
Declaration
I hereby declare that the above written particulars are true to the best of my knowledge and belief. 
[B]Date [/B]:
[B]Place [/B]: Ramulu.N
 
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[B]More Information about this submission and submitter [/B]:-
___________________________________________________
[B]Submission ID  [/B]: 4181097
[B]Date & Time  [/B]: 27th May 2011 1:41 PM (UTC)
[B]IP Address  [/B]: 124.125.111.47
[B]Browser Info  [/B]: Mozilla/5.0 (Windows NT 5.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1
Predicted Country []: India              		    		 		   		 		    		 		 			 				__________________
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