This resume is for Tejashree Rajendra Todkar. She has a B.E. in Electronic and Telecommunication Engineering from Vishwakarma Institute of Information Technology, Pune, with 62.73% marks. Her objective is to work in a challenging environment and enhance her skills through learning and experience. She has work experience as a volunteer for NCSEEE-2014 organized by IEEE. One of her projects involved using a Raspberry Pi board to demonstrate low-pass and high-pass filtering techniques for image and video enhancement. Her technical skills include LabVIEW, Micro C Pro, Proteus, Python, and Matlab.
1. RESUME
E-mail ID:tejutodkar@gmail.com Name : Todkar Tejashree Rajendra
Contact No.: +91-9850366959
Highest Qualification: B.E.
Addre ss : 4,Chandrabhaga Niwas, Basappa
Peth,satara.
Discipline : Electronic & Telecommunication
Engineering
2. Objective :
To work hard with maximum potential in a challenging and dynamic environment with an
opportunity of working with diverse group of people and enhancing my professional skills with
learning and experiences for career growth.
Educational Qualification:
Qualification
College/ High
School Branch/Discipline
University/
Board
Passing
Year Percentage
B.E
Vishwakarma
Institute of
Information
Technology, Pune
E& Tc Engineering
Pune
University
May-
2015
62.73%
T.E.
Vishwakarma
Institute of
Information
Technology, Pune
E& Tc Engineering
Pune
University
May-
2014
60.6%
S.E.
Vishwakarma
Institute of
Information
Technology, Pune
E & Tc Engineering
Pune
University
May-
2013
50.13%
Diploma
Karmveer Bhaurav
Patil college of
Engineering,
satara
E &Tc Technology MSBTE
Summer-
2012
77.77%
SSC Kanya shala satara ------- Maharashtra
March-
2009
83.38%
Achievements:
Worked as a volunteer for the NCSEEE-2014 organised by IEEE.
Participated in project competitions held in G.S.Raisoni engineering college.
Project Summary:
3. Project Name: Image/video Enhancement using Raspberry pi Board.
The aim of “Image/Video Enhancement using Raspberry pi Board” is to
demonstrate the low-pass and high pass filtering techniques. Low pass filter will produce a
Gaussian smoothing blur image, in the other hand, high pass filter will increase the contrast
between bright and dark pixel to produce a sharpen image .
Team size: 3
Software used: Python.
Technical Summary
Course LabVIEW
software Known Micro C pro, proteus, python, Matlab,multisim
Personal Details
Name Todkar Tejashree Rajendra
Address 4,chandrabhaga niwas basappa peth,satara-415002
Date of Birth 15th
Mar,1994
Language Known English Hindi Marathi
Gender Female
Hobbies Dancing, Listening to music, playing badminton.
Declaration:
I hereby that all the details furnished above are true to the best of my knowledge and belief.
Date:-
Place:- Tejashree R.Todkar