Engineering Inplant Training

REVATHI.K

E mail ID : ***************@*****.***

LinkedIn ID : Revathi karunakaran

Contact Number : +918*********

CAREER OBJECTIVE:

Looking for an opportunity in a reputed organisation which will help me deliver my best and upgrade my skills in engineering and meet the demands of the organisation. ACADEMIC QUALIFICATION:

Course Name of the

Institution

University/Board Year of

completion

Percentage

/CGPA

B.E

Electronics and

communication

engineering

Jai shriram

engineering

college

Anna University

2020

7.52

HSC

St. Aloysius

Girls

Hr.Sec.School

State board of

TamilNadu

2016

77.25

SSLC

Government

Hr.Sec.School

State board of

TamilNadu

2014

89

PAPER PRESENTATION:

Presented a paper titled IDENTIFICATION OF PLANT DISEASES USING IMAGE PROCESSING in the international conference organized by Jai Shriram Engineering College in 07.04.18.

Presenting a paper titled MEDICAL IMAGE COUNTERFEIT DETECTION FOR SMART HEALHCARE in the 2nd international conference on recent trends in engineering and scientific technology organized by Rathinam technical campus in 21.03.2020. INDUSTIAL VISIT:

One day visit to Barani Hydraulics India Private Limited at Coimbatore.

One day visit to Radio Astronomic Centre at Ooty.

One day visit to ISRO at Trivandrum.

TRAINING ATTENED:

Undergone inplant training on ANDROID APP DEVELOPMENT from 06.12.17 to 09.12.2017 at Uniq Technology’s in Coimbatore.

Undergone inplant training on EMBEDDED C BASICS FOR ATMEGA 16 from 15.06.18 to 17.06.18 at Embuzz Technologies private limited in Coimbatore.

Undergone inplant training on INTERNET OF THINGS from 17.06.19 to 19.06.19 at Gateway Software Solutions in Coimbatore.

WORKSHOP ATTENDED:

Attended a one day workshop on REAL TIME PROJECT USING ARDUINO organized by Jai Shriram Engineering College.

Attended three day workshop on EMBEDDED organized by Jai shriram Engineering College.

PROJECT:

Title: MEDICAL IMAGE COUNTERFEIT DETECTION FOR SMART HEALTCARE .In this project we use the software MATLAB. We use the CNN (Convolutional Neural Network) algorithm for more efficiency than previous methods. JOURNAL PUBLICATION:

A journal named as medical image counterfeit detection for smart healthcare was published in JOURNAL OF SENSOR RESEARCH AND TECNOLOGIES Volume 02 Issue 02 Year 2020.

PROFICIENCY:

PROGRAMMING SKILLS

C, C++

SOFTWARE SKILLS

Cisco packet Tracer, MATLAB

AREA OF INTEREST:

Digital Image Processing

Networking

PERSONAL DETAILS:

Father’s name : Karunakaran M

Mother’s name : Panjavarnam K

Date of Birth : 24-10-1999

Language known : English (Read, Write and speak) Tamil (Read, Write and speak)

Hobbies : Cooking,Craft making

Address for communication : 51/6, West street, Kaldurai Pudur, Palani (Tk), Dindugal (DT).

REFERENCE:

Mr.Dinakaran,

Assistant Professor/ECE,

Jai Shriram Engineering College, Tiruppur.

Place: Signature

Date:

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