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Sec School Inplant Training

Location:
Salem, Tamil Nadu, India
Posted:
November 12, 2020

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Resume:

JAYASREE.R

**/**/****

adhryp@r.postjobfree.com

944-***-****

No: 38,3rd street parameswaran nagar,

Shenoy nagar,Chennai -30

CARRER OBJECTIVE:

“To work in a challenging environment which provides me with ample opportunities to improve my skills to learn and growth along with the organization goals”.

EDUCATIONAL QUALIFICATION ON:

DEGREE

SPECIALISATION

BOARD

NAME OF THE INSTITUTION

YEAR OF PASSING

PERCENTAGE OR CGPA

B.E

Electronics and communication Engineering

Anna university

Alpha college of engineering

2020

7.76 (77%)

XII

Biology and maths

State board

Seethe Kingston matric hr sec school

2016

64

X

State board

Seethe Kingston house matric hr sec school

2014

79.4

ACHIEVEMENTS:

Captain of my school ball-badminton team during 2013.

Enthusiastically participated in all the cultural events.

Awarded highest CGPA in department level during April/May 2017.

AREA OF INTEREST:

Testing and developing .

TECHNICAL SKILL SET:

PROGRAMMING LANG KNOWN: C, C++.

OPERATING SYSTEM:MS Word, excel,powerpoint.

ADDITIONAL QUALIFICATION:

Attended a course on “PCB designing and reworking” at advanced training institute Chennai from 25th June 2018 to 29th June 2018.

Completed a course on “web designing with PHP” at BSNL from 21st April 2014 to 23rd April 2014.

Achieved business English certification from Cambridge English language assessment.

Attended inplant training in kaashiv infotech from 16th June 2019 to 20th June 2019.

Completed internship training in ELMEC HEATERS AND CONTROLLERS for 3 months.

ACADEMIC PROJECT :

PROJECT : 1

PROJECT TITLE: Traffic light control

TEAM SIZE: 2 members

HARDWARE’s AND SOFTWARE’s USED: 8051 development kit, LEDS 4 lanes, keil software.

DESCRIPTION: In this project we understood the concept of traffic signal controller and we developed the source code. The traffic controller section consist of 12 nos. point LEDs are arranged by 4lanes in 8051 development board. The interfacing with 8051 program is simple and c program is written in keil software.

PROJECT : 2

PROJECT TITLE: Brain tumor detection using CNN algorithm and updation of IOT.

TEAM SIZE: 2 members

HARDWARE’s AND SOFTWARE’s USED: IOT module,MATLAB( 2018) and MRI images.

DESCRIPTION: In this project we clearly detected the brain tumor using MRI image and analysed whether the tumor is benign or malignant. This process will be take place in MATLAB and the result will be obtained . Additionally we added the IOT updation so that easy access is provided . the result will accurate because of the MRI image.

DECLARATION:

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

SIGNATURE:

(JAYASREE.R)

DATE:



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