CURRICULAM VITAE
R. SANGAVAI
D/O R.RAVI
NO: 26/132 SRP COLONY 2nd STREET
PERAVALLUR,KOLATHUR,
CHENNAI:600082
Mobile: 909-***-****
Email:*********@*****.***
CAREER OBJECTIVE :
I want to correlate my theoretical and practical knowledge thus growing and learning as an individual and in return assisting and helping the company where I shall be working.
PROFESSIONAL SUMMARY :
An initiative taker with exceptional knowledge of circuits and their methodologies having bachelor of engineering degree in Electronics Engineering.
Skilled in Circuit implementation and the electronic components.
Team skills,coordination capabilities and passionate towards achieving goals.
Knowledge of semiconductor,VLSI design.fundamentals of digital and analog circuits.
EDUCATIONAL QUALIFICATIONS :
S.S.L.C :
Name of school : Lourdes girls higher secondary school, Perambur
Year of pass : 2014 Percentage : 84.6%
Class of pass : First class
DIPLOMA IN ECE :
College of study : Panimalar polytechnic college, Nungamabakkam
Course : Electronics and communication engineering
Year of pass : 2017 Percentage : 91%
Class of pass : First class with Distinction
BACHELOR OF ENGINEERING :
College of study : Meenakshi college of engineering, kk nagar
Course : B.E Electronics and communication engineering
Year of pass : 2020 Percentage : CGPA – 6.66%
Class of pass : First class
PROJECT DETAILS :
Project title : Environment sensing using smartphone
Institution : Panimalar polytechnic college
Hardware : Embedded
The project proposes, using different kinds of sensors such as temperature,gas and humidity sensor to monitor the different parameters in our environment.in case any abnormalities found in the environment these sensors are send as information to the users mobile through Bluetooth.we can also monitor and control the air conditioner and heater from the users mobile via Bluetooth.
B.E Project title : Classification of Cervical Cancer Colposcopy Images using Deep Learning
Institution : Meenakshi college of engineering
Software details
Operating system : Windows
Documentation : Ms office
Simulation tool : Python
The project proposes,cervical cancer of colposcopy images using deep learning method.the cancer can solved to detect final stage but our proposed system is early detect using convolution neural network.R-CNN is two detection method,the first stage identify
the subsets of images in the region.main purpose is cancer can predict with increasing accuracy level.
ELECTRONICS AND COMPUTER SKILLS :
MS office
Networking
Embedded
Languages : C, C++
Packages used : MATLAB
Operating system : windows
INTERNSHIP /WORKSHOP TRAINING :
Internet of things : ARDUINO
Bharat Sanchar Nigam Limited : Industrial visit located in Tambaram
Ashok leyland : Industrial visit located in Ennore
Attended an implant training Azees academy using "Arduino"
PERSONAL INTEREST :
Writing
Doing craft work
PERSONAL STRENGTH :
Boldness
Willingness to learn
Hardworking
LANGUAGES KNOWN :
Tamil,English