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Sample Template Example of Beautiful Curriculum Vitae / Resume / CV Format with Career Objective for B.Tech in Instrumentation & Control Engineering with 10+Years Work Experience in Word / Doc / Pdf Free Download
RESUME

SITA  CHAVALLA
H.No:3-6-309, Flat No: 2B,
Swapna Apartments, St.No: 13,
Himayath Nagar, Narayanguda,                                  Email:sita.chavalla@yahoo.com
Hyderabad 500029.                                                      Ph: 9876543210
                                                                                                               

CAREER OBJECTIVE
To work with passion in an organization where a growth oriented environment provides unlimited scope for learning new skills and to become an efficacious professional.

SKILLS
     ● Good Communication Skills.
     ● Hard Working nature.
     ● Self runner, Good stater.

SUMMARY
  • Good knowledge in Black Box Testing, Preparation of Test Cases and execution of Test Cases.
  • Proficient in functionality testing, Graphical User Interface Testing.
  • Strong at using simulation tools and programming languages.
  • Good working knowledge of Mat lab programming.
  • Highly motivated self starter and enthusiastic team player, good research and analytical abilities coupled with excellent interpersonal skills.
EDUCATION

Bachelor of Technology in Instrumentation and Control Engineering         May-2006
Jawaharlal Nehru Technological University, Hyderabad.                          Percentage: 72%

Intermediate- MPC                                                                                            May -2002
Board of Intermediate Education                                                                 Percentage-74%


TECHNICAL SKILLS
Programming Languages: C, C++, Assembly Languages (8085, 8086, 8051)
Simulation Tools: Mat lab
Testing Tools: Win Runner, Quick Test Profession, Load Runner, Test Director.

PROJECT
TITLE: FACE RECOGNITION USING INDEPENDENT COMPONENT ANALYSIS
ROLE: Team Leader

DESCRIPTION:
The main objective of this project is to rigorously compare two subspace projections techniques within the context of a baseline system on face recognition task, the first technique is principal component analysis (PCA) and the second technique is independent component analysis (ICA). The goal in PCA is to minimize the reprojection error from compressed data; the goal of ICA is to minimize the statistical dependence between the basis vectors. These techniques are used for comparing the input image with the database images and give the output as match or do not match.

[Tools: Mat lab]

DECLARATION: I here by declare that the information furnished above is true to the best of my
Knowledge
Place:
Date:                                                                                                                       Yours Sincerely,
                                                          
                                                                                                                               (Sita)  
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