Network Administrator Power Plant
Resume:
S NIVETHA SUGANTHI
IT Graduate
ABOUT ME CAREER OBJECTIVE
Date of Birth: September 11, 1998
Age: 22
Gender: Female
Birth Place: Tirunelveli
CONTACT
No.33/2, Mainroad, Parappadi,
Nanguneri, Tirunelveli-627110
I am “S Nivetha Suganthi” who aims to be able to find an exciting and challenging entry level position in the Information and Technology industry alongside a company who will continuously motivate and drive me to do my best and improve on my skills and abilities in order to be able to assist the company in achieving its company mission and goals.
ACADEMIC BACKGROUND
*************@*****.***
SKILLS
Attentive Listening and Effective
Oral Communication Skills
Creative at Problem Solving
Ability to Quickly Create and
Apply Ideas and Solutions
Good Leadership Skills Critical
Thinker
2020- 2016
2016- 2015
2014- 2012
INTERNSHIPS
BACHELOR DEGREE
Information Technology
Kings Engineering College
79%
HIGHER SECONDARY SCHOOL
Biology
Holy Redeemer’s Higher Secondary School
78.6%
SECONDARY SCHOOL CERTIFICATE
Government Higher Secondary School
91.6%
EXPERTISE
Word, Excel, Power Point
C, C++, python Basics, .Net
HTML, CSS, JS, Bootstrap
SQL, Visual Basics
12-2018 HCS Career Development Academy
Two DAYS INDUSTRIAL WORKSHOP – “PYTHON”
08-2017 BSNL – DIGITAL TRANSMISSIONCENTER
Demo on “Optical Fibre Cable” And “Power Plant”
09-2017 WISE TECHSOURCE
One day hands on workshop - “Artificial intelligence” &
“Robotic process automation RPA”
Rational Rose & Umbrello
Windows
INTERESTS
Listening Music
Watching YouTube
Shiash Info Solutions
Two Months Internship – “.Net”
08-2020
FINAL YEAR PROJECT
My project is Plant leaf diseases detection using image processing.
The major problem in the agriculture is the disease attack in the plant leaves, to notify that in prior and to do the precaution measures we are going to identify the disease and segments the disease in the plant leaves.
To collect image data sets of various common leaves diseases.
To identifying infected area based upon clustering algorithm.
To evaluate the color co-occurrence method, for disease detection in leaves.
To develop NNs strategies classification of leaves based on the features obtained from the color co-occurrence method.
Place: Chennai (S Nivetha Suganthi)
Date: Signature
Contact this candidate