Summary
Overview
Work History
Education
Skills
Software
Additional Information
Affiliations
Accomplishments
Certification
Interests
Timeline
Generic

DHAKSINYAA S

BE Graduate
14/3,Nanjappa Nagar,6th Street,Singanallur,Coimbatore,Tamil Nadu

Summary

Engineering graduate with skillset in programming languages like c and java.Consistently enthusiastic in upskilling myself in this fast growing technological world.Highly interested in leadership and managerial activities .

Overview

5
5
years of post-secondary education
1
1
Certification
2
2
Languages

Work History

Project Engineer

Wipro
04.2022 - Current

Education

BE - Biomedical Engineering

PSG College of Technology
08.2018 - 05.2022

Class 12th -

Alvernia Matriculation Higher Secondary School
06.2017 - 04.2018

SSLC -

Alvernia Matriculation Higher Secondary School
06.2015 - 04.2016

Skills

Machine Learning

Signal Processing

Networking basics

Software

Eclipse

Matlab

Pspice

NI multism

LabView

SketchUp

Additional Information

Title: “SALIVARY GLUCOSE BIOSENSOR”

Description: Salivary glucose biosensor is a noninvasive method of measuring the glucose level of the saliva.It is a small disposable strip,which when exposed to an individual's saliva instantly provides a glucose measurement.

Title: “DESIGN AND DEVELOPMENT OF ROBOTIC GLOVES”

Description: The basic prototype of robotic gloves has been designed and developed for hemiplegic stroke patients.The healthy hand (the hand with flex sensor is bend) and that signal is sent to the microcontroller resulting in the rotation of servo motors.

Title:“ANALYSIS & CLASSIFICATION OF RESPIRATORY DISORDERS USING COUGH SIGNALS”

Description: The machine learning models for two level classification of respiratory diseases has been developed.The ICBHI dataset(containing cough audios)has been used, from which we preprocessed the signal and extracted the dominant features.The machine learning models has been built from these extracted features.

Title:“AUTOMATED DETECTION OF COVID-19 USING COUGH SOUNDS"

Description: The machine learning models has been trained and developed to detect the COVID-19.The Virufy COVID-19 cough database has been used,from which the pre-processing of audio signal and feature extraction has been performed

Affiliations

  • Advanced Training in Biomedical Applications from Harvey Biomedical,Bangalore.
  • Name of the industry: TIFAC,Coimbatore

Area of exposure: 3D organ printing

  • Name of the industry: PSG Hospitals,Coimbatore

Area of exposure: Study of Biomedical Equipments

Accomplishments

  • Member of Entrepreneurship club
  • Worked as a part of Biomedical Association
  • Contributed in Artificial Intelligence and Robotics club
  • Member of dance team"Team 21"

Certification

Product Management

Interests

I, DHAKSINYAA S, do hereby confirm that the information given above is true to the best of my knowledge (DHAKSINYAA S)

Timeline

Product Management

10-2022

Project Engineer

Wipro
04.2022 - Current

BE - Biomedical Engineering

PSG College of Technology
08.2018 - 05.2022

Class 12th -

Alvernia Matriculation Higher Secondary School
06.2017 - 04.2018

SSLC -

Alvernia Matriculation Higher Secondary School
06.2015 - 04.2016
DHAKSINYAA SBE Graduate