CURRICULUM VITAE

Chandana Kaveti

: +91-953*******.

: admnxy@r.postjobfree.com

OBJECTIVE:

“To seek a career in an organization having an environment that encourages continuous learning and provides exposure to new ideas, thus enabling professional and personal growth along with the organization’s growth, possessing competent technical skills”

TECHNICAL SKILL:

•Strong analytical and people management skills.

•Excellent verbal and personal communication skills.

•Accuracy and Attention to details.

•Passion for constant improvement.

•Ability to take sound decisions.

•Excellent organization and prioritization skills.

INTERNSHIP and PROJECT DETAILS

Internship :

Company Name: Ajay Sensors & Instruments, Bangalore

I have done internship in, Ajay Sensors & Instruments from 09-07-2019 to 09-08-01-2019 on No pay basis for 30 days.

DENSITY BASED TRAFFIC LIGHT CONTROL SYSTEM

Abstract: - Traffic congestion is a severe problem in most of the cities across the world and it has become a nightmare for the citizens. It is caused by delay in signal, inappropriate timing of traffic signalling etc. The delay of traffic light is hard coded and it does not depends on traffic. Therefore for optimising traffic control, there is an increasing demand in systematic quick automatic system. This paper is designed to develop a density based dynamic traffic signal control. The signal timing changes automatically on sensing the traffic density at the junction. The microcontroller used in this project is ARDUINO. The system contains IR sensors (transmitter and receiver) which will be mounted on the either side of the road on poles. It gets activated and receives the signal as the vehicles passes close by it.

Academic Project Details:

Face Recognition

A face recognition system is one of the biometric information processes, its applicability is easier and working range is larger than others, i.e.; fingerprint, iris scanning, signature, etc. A face recognition system is designed, implemented and tested at VTU University, Electronics and Communication Engineering Department. The system uses a combination of techniques in two topics; face detection and recognition. The face detection is performed on live acquired images without any application field in mind. Processes utilized in the system are white balance correction, skin like region segmentation, facial feature extraction and face image extraction on a face candidate. Then a face classification method that uses Feed Forward Neural Network is integrated in the system. The system is tested with a database generated in the laboratory with 26 people. The tested system has acceptable performance to recognize faces within intended limits. System is also capable of detecting and recognizing multiple faces in live acquired images.

PERSONAL COMPETENCY:

•Highly motivated and eager to learn new things.

•Fast learner and self-initiative.

•Good organizational and communicational skills.

•Adaptability to change and good team player.

•Optimistic and honest.

EDUCATIONAL QUALIFICATION:

Program/Course

Board/University

Institute/College

Year of

Passing

CGPA/

Marks

%

BACHELOR OF

ENGINEERING (E & C)

Visvesvaraya

Technological

University

(VTU), Belagavi.

Kalpataru institute of technology, Tiptur(T),

Tumkur(D)

2020

6.25 (CGPA)

PUC (12th)

Department Of Pre-

University Education.

Karnataka.

Vidyavahini Pre

University College, Tumkur(D).

2016

49.83%

SSLC (10th)

Karnataka

Secondary Education

Examination Board.

Govt. High school C.N.Hally, Tumkur(D).

2014

67.84%

SOFTWARE SKILLS:

•Operating Systems : Familiar with all versions of Microsoft Windows.

•MS-Office : Excellent in Ms-Office (Word, Excel, and Power Point).

• Programming Languages : Basic C, Microprocessor.

PERSONAL DOSSIER:

Date of Birth : 27-01-1999

Languages Known :English,Kannada,Telugu.

Nationality : Indian.

Marital status : Unmarried.

Strengths : Fast Learning, Problem Analysis & solving.

Hobbies : Cooking, listening music, dancing.

Permanent Address : Dibbada Halli,Kasaba hobli honne bagi Panchayat Chikkanayakana halli

, C.N.Hally(taluk), Tumkur(Dist)

Declaration: I hereby declare that the above statements are correct and true to the best of my knowledge.

Place: Bangalore Chandana Kaveti

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