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C, C++, MATLAB, Simulink, Arduino

Chennai, Tamil Nadu, India
20,000 Per Month
June 28, 2019

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To grab an opportunity and set myself a goal where I can be innovative and attain a challenging position by exercising my interpersonal and professional skills to the fullest for the growth of the organisation and mine as well.

Biomedical Instrumentation

Digital Image Processing

Pattern Recognition and Neural Networks

Industry Ready Engineering conducted by Sunshiv Electronics,CBE for three days

Professional Education Programme for Biomedical Engineers-2017 conducted by Deepam Hospital Limited and CURA Healthcare Pvt.Ltd.

Workshop on Service Maintenance of Biomedical Equipments for Entry Level Engineers conducted by Radikal Medequip Systems.

Hospital Training attended in Dr. Kamakshi Memorial Hospital between 11th December and 15th December 2017.

Hospital Training attended in Deepam Hospital Limited between 12th June and 19th June2018.

One day workshop on “Clinical Research, Protocol writing, GCP & Pharmacovigilance” conducted by Deepam Pallavaram Clinical Research held on 2nd January 2019.

One day workshop on Hands on training on Arduino, NodeMCU and Raspberry Pi conducted by Saveetha Engineering College as a part of DRESTEIN’18 held on 21st September 2018. Qualification Institute University/ Board

Years Of



Of Marks

B.E Biomedical


SMK Fomra Institute of


Anna University-


2015-2019 83.42%

Higher Secondary


Zion Matriculation Higher

Secondary School, Selaiyur,


Directorate of

Examinations, Chennai

( Matriculation)

April,2015 87%


Christ King Girl’s Higher



Directorate of

Examinations, Chennai

( State Board)

April,2013 96.4%


: +91-805*******/+91-994*******






Won First Prize in Paper Presentation “Disease detection for analysis of Neuro-Motor diseases” at

“Invente 2016” conducted by SSN College of Engineering,Chennai

Won First Prize in Paper Presentation “A Non-Invasive approach to diagnose Silent Heart Attack for Diabetic Patients” at “HRIDHAYA 2K17” conducted by GKM College of Engineering and Technology.

Runner up in Poster Presentation “A Non-Invasive approach to diagnose Silent Heart Attack for Diabetic Patients” at “HRIDHAYA 2K17” conducted by GKM College of Engineering and Technology.

Won Third Prize in Paper Presentation “Prevention of Heart Attack” at “Invente 2.0 -2017” conducted by SSN College of Engineering, Chennai.

Won Second Prize in Paper Presentation “Prevention of Heart Attack” at “FOMRA QUEST ” conducted by SMK Fomra Institute of Technology, Chennai.

Won First Prize in Poster Presentation “A Non-Invasive approach to diagnose Silent Heart Attack for Diabetic Patients” at Karpaga Vinayaga College of Engineering and Technology, Chennai.

Won First Prize in Paper Presentation “A Non-Invasive Detection of Hypoglcemia Using NIR Sensor Module” at GRT Institute of Engineering and Technology, Tiruttani.

Software’s Known:

Adobe Indesign, Adobe Photoshop, Adobe Illustrator, MATLAB, MULTISIM, Arduino UNO, SIMULINK, Microsoft Word, Powerpoint, Excel

Programming Languages known:

C, C++, Basics of Java and Python

Stress Detector

Stress is a feeling of emotional or physical tension. It can come from any event or thought that makes you feel frustrated, angry, or nervous. Stress is the body's reaction to a challenge or demand.The effects can lead from headache to heart attack. In our project we used sensor pad, Potentiometer, Digital Kit, LED’s to the variations in stress .This method can also be used to predict the onset of cardioattacks. Tongue Image Analysis for Diabetes Diagnosis – Mini Project According to Traditional Chinese Medicine (TCM), analyzing the appearance of an individual tongue can provide a greater understanding of overall health. In western medicine, It is not able to analyze the tongue for diabetic disease. In our proposed method, we introduced a technique which can be able to diagnose diabetes. so, initially we took images of tongue and centre part of tongue body is cropped because ACHIEVEMENTS



the centre part of tongue is the reflex zone of pancreas, histogram equalization is done to enhance the contrast and extracted the texture features finally it is given to Kohonen SOM classifier for diabetes detection.

Detection of Retinal Diseases from Fundus Image Using Deep Learning – Main Project Retinal diseases vary widely, but most of them cause visual symptoms. Retinal diseases can affect any part of the retina. Diabetic retinopathy, macular degeneration have become the important and increasing causes of retinal blindness. The time taken by Physician to diagnose each disease is quite high. Our proposed method creates a Graphical User Interface for the Physician, through that interface they can detect retinal diseases by just loading the image to that interface. we consider 5 retinal diseases. The diseases are identified with the help of Convolutional Neural Network . Before giving to the neural network the image has to be pre –processed. That is done through image processing techniques. D.O.B : 14.01.1998

Gender : Female

Father’s Name : S.Suresh

Address : Plot No.100, Kalaiavanar Street, Parvathy Nagar, Old Perungalathur, Chennai-600 063.

Languages Known : English, Tamil

Nationality : Indian

Hobbies : Pencil Drawing, Doodle Drawing, Singing. Reference : 1.Mr. G.Gowri Shankar 2. Mr.R.Thirunavukkarasu Head of the Department, Principal Engineer,

SMK Fomra Inst.of Technology Parker Aerospace.

Contact no: 967**-***** Contact no: 805**-*****


I hereby declare that the details furnished above are true and correct to the best of my knowledge. Place: Chennai Signature

Date: (S.Delsy)


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