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Name of the Candidate:S.GAYATHRI
Name of the Post Applied:Assistant Professor
Job related skills / software:PLC
Category:Teaching Lecturer Faculty
Sub Category:Professor
Years of Experience:0 years
State:Tamil Nadu
Gender:Female
Salary Expected per Month(Rs):15,000 to 20,000
Highest Qualification attained:M.E. / ME : Master of Engineering
Major / Specialization:Control & Instrumentation
Email Id:saigayathri.90 AT gmail.com
 
Are you looking for job now?:Yes
Can the recruiter contact you?:Yes
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                                                       CURRICULUM VITAE

Name: S.Gayathri                                                                 Mobile No: 8939778475

Email Id: saigayathri.90@gmail.com

OBJECTIVE:

To utilize my skills in an effective way for enhancing student’s knowledge and also for the growth of the institution.

EDUCATION:

- Pursuing Master of Engineering in Control & Instrumentation at St.Joseph’s College of Engineering, Chennai. CGPA- 7.9 (Up to second semester) 2014-2016

Bachelor of Engineering in Electronic & Instrumentation from J.J.College of Engineering & Technology, Trichy. CGPA- 7.35 2008-2012

-  Completed HSC from Amala Girls Higher Secondary School (State Board) – 73.75%, 2008

-  Completed SSLC from Amala Girls Higher Secondary School (State board) – 86.8%, 2006.

AREA OF INTEREST:

-         Industrial Instrumentation

-         Analytical Instrumentation

-         Biomedical Instrumentation

SOFT SKILLS:

Good Communication Skill

Good Listener

CO-CURRICULAR ACTIVITIES:

Presented a paper on “Electric Drives And Process Control” in the National level technical Symposium, Instruz- 2011 at Mahendra Engineering College.

 

EXTRA-CURRICULAR ACTIVITIES:

-         Completed Bachelor of Arts in Hindi

-         Completed diploma in Hindi and Sanskrit

-         Actively participated in ad making and various events in inter college competitions.

ACADEMIC PROJECTS:

UG Project

Title:   A Real Time Wireless EEG based System for Drowsiness Detection

Description: A Project to monitor and control the vehicle while the driver feels drowsy.
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It is based on the alpha waves in brain. It is done by using EEG Sensors, Transmitter, and Receiver.

PG Project:

Title: MRI Brain Tumour Segmentation using MFCM, MRF and Classification using SVM and BPNN

Description: A Project to detect tumour in brain in MRI images using two different segmenting algorithms and Classification using SVM and BPNN. This is used to detect tumour in early stage as well as locate and measures the dimension of tumour for treatment purpose.

WORK EXPERIENCE:

Company Name: Raksha Technologies, Chennai

Designation: Technical Co-ordinator

Duration: May 2013- Sep 2013

Responsibilities:

To train the field engineers to solve issues in different anti-virus products.

To give demo to the clients in device management products.

 

PERSONAL DETAILS:

Date of Birth: 27th May 1990

Marital status: Married

Nationality: Indian

Languages known: Tamil, English and Hindi

 

DECLARATION:

I hereby declare that the above mentioned information is true to the best of my knowledge.

 

 

 

 

 

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