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| RASHEED_B.Tech_2009_67%_MAINFRAME_TRAINED_FRESHER | |
| Posted: Rasheed @ Mon Aug 23, 2010 3:00 pm |
K.Md.Rasheed
171/170,13th cross, 16th main
BTM 1St stage,
Taverekere Extension,
Bangalore - 560029.
Mobile: +91-8147558055
Email ID : khajirasheed@gmail.com
CAREER OBJECTIVE
To work in a challenging environment where my knowledge and personal skills are utilized for the growth of the organization.
ACADEMIC REVIEW
Bachelor degree in Electronics and Communication Engineering from JNTU University, Anantapur in the year 2009.aggregate 67%
Intermediate from Narayana Jr. College, Anantapur in the year 2005. Secured 86%
SSC from ST.Pauls E.M School, Andhra Pradesh in the year 2003. Secured 75%
TECHNICAL SKILLS
IBM Mainframe Training from ProEd Training Pvt. Ltd, BANGALORE
Operating systems : z/OS, Windows XP
Tools & Utilities : TSO/ISPF.
Programming Languages : JCL, COBOL
Access Methods : VSAM, NON-VSAM
Databases : DB2
OLTP : CICS
OTHER QUALIFICATIONS
ACHIEVEMENTS:
Participated and won the prize in the Talent Test conducted by ISM Technology (Bangalore) in 2008
Lead my B.Tech project
PERSONAL STRENGTHS:
Self Confidence and Positive Attitude with strong ability towards work.
Adaptability to any environment easily.
Ability to learn new technologies in short time and to work independently as well as part of the team.
PROJECTS HANDLED
1. INTERNAL PROJECT AS PART OF THE TRAINING:
Project name : Menu Based Employee Maintenance System
Language : CICS, COBOL, z/OS.v1.4, and VSAM
Description:
Preparing a system that maintains the Customer details in a VSAM Cluster and updating the details as and when required.
The following functions are possible:
Enquiring Customer details.
Changing or updating the Customers information.
Deleting a particular Customer.
Inserting a new Customer
Here we are using KSDS cluster to store the information of Customers
ACADEMIC PROJECT
Project Title: Brain Tumor Detection Using Color Based K-Means
Clustering Segmentation
Platform : Mat lab and Digital Image Processing
Description:
In this project, we propose a color based segmentation method that uses the K-means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using K means clustering And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
PERSONAL PROFILE
Name : K.Md.Rasheed
Nationality : Indian Muslim
Sex : Male
Language Known : English, Telugu and Hindi
Hobbies : Web Surfing, Solving Postules.
DECLARATION
I hereby declare that all the aforementioned details are true to the best of my knowledge.
Date:
Place: Bangalore (K.MD.RASHEED)
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