Training Software

Career Objectives

ANKITHA R

Email: ***********@*****.***

Cell phone: 812-***-****

To work in challenging and responsible position where my professional skills can be utilized for the progress of the organization and to update myself with the latest technologies, so as to enable myself to establish in future.

Academic Qualification

Sl. No Course University/board Institution

Year of

Passing

Percentage

1.

B E

(ECE)

VTU

Bapuji Institute of

Engineering and

Technology Davangere

2018 75.62%

2.

2nd PUC

STATE BOARD

Nutana PU Science

college Davangere

2014 92.5%

3. SSLC KSEEB

St. Pauls girls high school

Davangere 2012 88.80%

Training & Skills

Training and certification: Completed myC and C++ training successfully from NIIT. Primary Skills: VHDL, CCNA, Embedded C, JAVA, MS office, Latex. Operating System: Windows.

Software skills: Kiel uVision 2, Arduino, HTML basics. Personal Attributes

Excellent Communication skills and the ability to work efficiently, quick learning & working with new technologies to fulfill project needs.

Excellent visionary, strategic thinking and relationship focusing capability.

Expertise in analytical and technical skills.

Excellent industrial ethics viz. Industrial behavior, quality rules, time management, co- operation, unity, ability to tackle the flaws and good convincing skills. Area of interest:

Microcontroller based projects

VLSI Design

Academic Projects of B.E.

Title: “ Prevention of Theft of Valuable Trees in Forest Using GSM Technology” Description:

Valuable trees such as sandalwood, Rosewood etc., represent the forest wealth. But from many years we are getting a news about smuggling of these trees. This system prevent such illegal activities by detecting bend in the trees.

Hardware used : Microcontroller AT89C52, Accelerometer

Software used : Keil microvision 2, Embedded C

Role : Code development, Analysis, Testing

Title: “Intelligent Real-Time Traffic Light Control Using Image- Processing.”

Extensive traffic on roads and improper methods of controlling the traffic may create traffic jams. Improper traffic management leads to wastage of time, resources and increase in pollution. Existing methods work well in free-flow traffic but in the case of heavy congestion, these methods have to face challenges. Therefore, for improved traffic management using image processing methods serve as a better option rather than manual controlling, sensor based and static time allocation approaches.

Hardware used : Raspberry pi 3

Software used : Raspbian, Python

Role : Code development, Analysis, Testing

Personal Information

Name – Ankitha R

Date of birth – 25 may 1996

Father’s name – Rayappa B

Nationality – Indian

Marital status – Single

Languages known – English, Kannada and Hindi.

Address – #798/1B, 3rd cross pisale compound P.B. road Davangere. Declaration

I hereby declare that the information furnished above is true to the best of my knowledge and belief.

Date:

Place: Davangere (Ankitha R)

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