1. RESUME
M.Sardar Khan
Email-id: sardarkhanm@gmail.com Contact No:+91 8050150455
Career Objective:
To obtain a position that will enable me to use my strong organizational skills,
hardwork, educational background and ability to work well with people.
Educational Qualifications:
Course
Name of the
Institution
University
Year of
Passing
Percentage
MCA
K.S.R.M College of
Engineering, kadapa
Andhra Pradesh.
JNTUA 2014 75.00%
B.SC
MPCS
Sri Sreenivasa Degree
College, Rayachoty
Sri Venkateswara
University
2011 66.00%
Intermediate
MPC
Nagarjuna Junior
College, Kadapa Board of Intermediate 2008 52.00%
SSC
National High School,
Rayachoty
Board of Secondary
Education
2005 42.33%
2. Technical Skills:
• Languages : C, HTML,XML,Java, Dot net
• Database : Oracle.
• Package : MS-Office.
Achievements:
Capable of handling the project to the profitability of organization and to the
satisfaction of The customer.
• Participating School level Quiz Computations.
• Achieve my target, Goals and ambitions.
Personal Skills:
• Easily mingle with people.
• Willing to learn new things.
• Positive attitude & Commitment towards work.
PROJECT DETAILS:
Main project
Project Title : INVETIGATION AND ANALYSISOF NEW APPROACH OF
INTELLIGENT SEMANTIC WEB SEARCH ENGINE
Operating system : Windows, XP/Windows7
Language : Java (jdk1.6.0)
Front End : Swings, AWT
Project Description:
The issues within the reviewed intelligent semantic search methods and
engines are concluded based on four perspectives differentiations between designers and users
perceptions, static knowledge structure, low precision andh igh recall and lack of experimental
tests. Here we presented the use of Semantic Web tools for searching the semantic information
on the pages using W3C compliant tools. This enables our system to work on any platform.
There are many extensions possible in this system. Information from other domains can be
included by proposing Ontologies. Currently metadata feeds is the manual process using
XForms. We are currently working towards automation. There are two possible solutions for this
problem. One is Semantic Crawlers while second is the use of RSS feeds. The queries are
required to be parsed according to Natural Language Processing framework. Complex set of
algorithms are required to be implemented. Above results claims that proposed approach is
3. showing the improvements in precision rate with lower recall rate as compared existing search
engines.. Applied the notion of credit risk from economics to detect selfish nodes, for creating
and maintaining academic records for MCA students.
Personal Profile:
Date of Birth : 01 April 1989
Father’s Name : M.Hafizulla Khan
Languages Known : English, Telugu, Hindi and Urdu
Permanent Address : #2/558,Sarada school Road,
T.sundupalli(M.D),
Kadapa(D.T)
Phone No : +91-9014037856
Declaration:
I hereby declare that the above mentioned information is correct up to my
knowledge and I bear the responsibility for the correctness of the above mentioned particulars.
Date:
Place: ( SARDAR KHAN.M )