Engineering Project

MAYA ARAVINDA SWAMY

Email ID : aravindaswamymaya@gmail .com Mobile no : +91-812*******

CAREER OBJECTIVE:

To work for an organisation, which provides me with the opportunity to use, enhance my skills and knowledge which leads to its growth along with my individual growth which ultimately meets the organisation objectives. ACADEMIC PROFILE :

Course

Institute

Board/University

Batch

Marks

Awarded

B.Tech

Bapatla Engineering

Acharya Nagarjuna

2014-2018

8.42 CGPA

(E.C.E) College, Bapatla University

Intermediate

Narayana Junior College,

Board of Intermediate

2012-2014

92.8%

( M.P.C ) Gudivada Education

S.S.C

S.G.R.C.M.Z.P.High

Board of Secondary

2011-2012

8.5GPA

School Education

TECHNICAL SKILLS:

● Programming Languages : C, Python, OOPS Concepts, Data structures Algorithms, LabVIEW.

● IDE’s : Pycharm IDE and Python IDLE

● Tools known : MATLAB, Xilinx.

MINI PROJECT:

● Title: Alcohol detection using MQ3 Alcohol gas sensor.

● Aim: The main purpose is accident prevention by sensing the alcohol percentage. If the person inside car has consumed alcohol then it is alcohol detection is done by the sensor. Sensor gives this signal to a comparator IC. The output of comparator is connected to the microcontroller. Microcontroller is the heart of this project. It is the CPU of the complete circuit. Microcontroller gives high pulse to the buzzer circuit and the buzzer is turned on. At the same time a relay is turned off. Due to this the ignition of the car is deactivated.

● Role: I led our team effectively to complete the project in time and without scope of errors. MAIN PROJECT:

● Title: Automatic Modulation Classification(AMC) by cyclosta onary feature detec on using NI LabVIEW software and NI USRP hardware.

● Aim: The AMC system described here uses cyclic feature detection on the receiver side to classify among BPSK, QPSK, FSK, and MSK modulation schemes. The transmitter selects one of these four modulation schemes to transmit a randomly generated stream of bits. The receiver, upon receiving the signal, extracts its cyclostationary features (spectral coherence function and cyclic domain profile) and uses a trained neural network to classify the modulation scheme.

● Role: I led our team effectively to complete the project in time and without scope of errors. INTERESTED SUBJECTS:

● Digital Electronics.

● Analog & Digital Communications.

● Artificial Intelligence Basic Algorithms.

CO CURRICULAR ACTIVITIES:

● Participated in ROBOTICS competitive workshop in V.R. Siddhartha Engineering College .

● Participated in Paper Presentation in Bapatla Engineering College.

● Attended IOT Workshop in Bapatla Engineering College. EXTRA CURRICULAR ACTIVITIES:

● Stood first in kabaddi competition at College level and Zone level.

● Grabbed first prize in carroms competition at College level.

● Participated as event coordinator at College level.

● Worked as volunteer and a member of Discipline committee at college level. HOBBIES: Playing Challenging games, Bike Riding, Browsing Internet. PERSONAL TRAITS:

● Time Management.

● I strongly believe in hard work and Teamwork.

● I have a good helping tendency.

● Willingness to learn new things,Because I am Quick Learner.

● Adaptable, Flexible and Optimistic.

DECLARATION:

● I hereby declare that the information furnished above is true to the best of my knowledge. Place:

Date: M.ARAVINDA SWAMY

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