S. Manikandan is seeking a challenging career where he can utilize his knowledge and skills. He has a B.Tech in IT from Kongu Engineering College with a 7.39 CGPA. His areas of interest include DBMS and .NET. He is proficient in languages like C, C++, and Java and the Windows platform. He has worked on projects involving reducing Linux boot time and mining maximal frequent patterns from data streams. He has received awards for his academic and extracurricular achievements including cricket and quizzing. He is a member of professional organizations like CSI and Rotaract.

1. S.MANIKANDAN
manikandanit10@gmail.com
8973826130
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CAREER OBJECTIVE
Aiming to achieve a challenging and successful career where I can make a significant contribution using
my innovative ideas, knowledge and skills for the development and growth of the organization
ACADEMIC PARTICULARS
CLASS/COURSE NAME OF THE
INSTITUTION
BOARD OF
STUDY
YEAR OF
PASSING
PERCENTAGE/CGPA
B.TECH IT Kongu
Engineering
college
Anna
university
2015 7.39
HSC B V Matric
Higher Secondary
School, Mulanur
State Board 2011 94.16
SSLC Government High
School,
Nanjaithalaiyur
State Board 2009 89
ACADEMIC ACHIEVEMENTS
 Secured first position in my school in SSLC and awarded Merit Scholarship Excellence Award for
School Toppers by the Government of Tamilnadu in the year 2009
 Secured third position in my school in HSC in the year 2011 and got the Merit Scholarship
AREA OF INTEREST
 DBMS
 .NET
SKILL SET
 Languages known : C, C++, Core Java
 Platform : Windows
PROJECT DONE
Mini project: Linux based web oriented OS for quick booting
Abstract: Our main objective is to reduce the booting time of the web oriented operating system in
Linux environment. We need the specific files for web oriented OS to reduce the booting time that
files are web configuration files to display the most required files for boot up in Linux environment.
We can reduce upto eight seconds compare to normal boot up in Linux environment.

2. Main project: Mining maximal frequent patterns by considering weight conditions
Abstract: Our main objective is to mine the data's frequently as well as quickly over data streams.
MWS (Maximal Frequent pattern mining over data streams by considering weight conditions)
guarantees efficient mining performance in the data streams by scanning stream databases only once.
MWS could conduct mining operations more quickly and effectively due to the suggested strategies
such as applying WMFP-array, pre-pruning useless patterns, and processing single-paths.the algorithm
outperforms the previous algorithms in terms of runtime, memory usage, and scalability.
PAPER PRESENTED
 Presented a paper titled “Artificial Intelligence with M.O.V.E.S” in UTSAHA 2K14 at
KSR college of Technology, Trichengodu, Namakkal
EXTRA CURRICULAR ACTIVITES
 Won first place for Cricket in University & State Level Cricket Zone’12 , conduted by Anna
University, Chennai in the year 2014
 Won first place for District level Young Indians Cricket Trophy’14, conduted by Young
Indians Students Net, Kongu Engineering College, Perundurai in the year 2014
 Won first place for State level Cricket Tournament K.L.N. Cricket Trophy’14, conduted by
K.L.N. Krishnan College of Engineering
 Won Second place for State level Cricket Tournament K.L.N. Cricket Trophy’15, conduted
by K.L.N. Krishnan College of Engineering
 Won second place for quiz in SIGNIN’13, at Kongu Engineering College, Perundurai
 Won third place for Cricket in University & State Level Cricket Zone’12, conduted by Anna
University, Chennai in the year 2013
 Won third place for Cricket in University & State Level Cricket Zone’12, conduted by Anna
University, Chennai in the year 2012
 Won Third Place for 4*400 Relay in Sports day in the year 2013
MEMBERSHIPS OF PROFESSIONAL BODIES
 Member of Computer Society of India
 Member of Rotaract club
 Member of National Service Scheme(NSS)
 Member of Young Indians Students Net TamilNadu
Declaration
I hereby declare that the above details furnished by me are true to the best of my knowledge
Place:
Date:
[S.MANIKANDAN]