Computer Science C
Resume:
RESUME
Kailash Sinha, M.E.(CS). Email:-
*****************@**********.***
S.G. Palya,Bhavani Nagar, Mob:-+91-968*******
Bangalore-560029
CAREER OBJECTIVE:
Seeking a challenging career in ERP as SAP ABAP/4 professional where I can
contribute my knowledge and skills for growth and development of the
organization.
SOFTWARE SKILL SET :
ERP : SAP R/3
Languages : ABAP/4, MATLAB.
Operating Systems : Windows 7
Package : MS-Office.
SAP ABAP KNOWLEDGE SKILLS:
DATA DICTIONARY
INTERNAL TABLES
CLASSICAL REPORTS
INTERACTIVE REPORTS
MODULARIZATION TECHNIQUES
SCREEN PAINTER (Module Pool Programming)
BDC (Batch Data Communication)/LSMW
SAPSCRIPTS & SMARTFORMS
ENHANCEMENT
RFC
BADI
BAPI
ALE/IDOC
EDUCATIONAL DETAILS:
COURSE INSTITUTION AGGREGATE% YEAR
M.E. Shri Shankarcharya Group of 72.4 2014
(Communication Institution,Bhilai (C.G.)
System)
B.E (ET&T) 70.14 2009
Rungta College of
Engineering & Technolgy,
Bhilai (C.G.)
H.S.S.C Shri Mahavir Jain School, 74.6 2005
Durg
(C.G.)
H..S.C Shri Mahavir Jain School, 82.7 2003
Durg
(C.G.)
ACADEMIC PROJECT WORK:
Title: “Implementation of Efficient Segmentation Method for Tumor Detection of MRI
Images”.
Summary: Research presents a comparative study of three segmentation
methods implemented for tumor detection. The methods include k-means
clustering with watershed segmentation algorithm, optimized k-means clustering
with genetic algorithm and optimized c- means clustering with genetic algorithm.
At the end of process the tumor is extracted from the MR image and its exact
position and the shape are determined. The experimental results indicate that
genetic c-means not only eliminate the over-segmentation problem, but also
provide fast and efficient clustering results.
PUBLISHED PAPER:
[1] K.Sinha;G.R.sinha; “Efficient Segmentation Methods for Tumor
Detection in MRI Images”; IEEE Student’s Conference on Electrical,
Electronics and Computer Science, 978-1-4799-2526-1/14/$31.00
©2014 IEEE.
[2] K.Sinha; G.R.Sinha “Comparative analysis of optimized k-means and
c-means clustering method for segmentation of brain MRI images for
tumor extraction ” 1rst Elsevier International conference on “Emerging
Research in Computing, Information, Communication and
Applications”(ERCICA) at Meenakshi Institute of Technology,Yelahanka, Bangalore ;pp. 619-625;2-3 August 2013; ISBN:
HOBBY
• Listening Music
• To Solve Rubix Cube
• Swimming
• Sketching
PERSONAL DETAILS:
Name : Kailash Sinha
Date of Birth : 13-10-1987.
Father’s Name : Mr. S.L. Sinha
Mother’s Name : Smt.Meera Sinha
Languages : English, Hindi
#31/15, S.G. Palya,Bhavani Nagar, 1 st
Present Address :
Cross,Near
Sagar Automobiles, Bangalore-560029.
DECLARATION :
I, hereby declare that the information provided above is true to the best of my
knowledge and belief.
Place:BHILAI Kailash
Sinha
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