Sensiple Software Solutions Pvt Ltd Chennai : Business Analyst

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  1. Post Count Number #1
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    Sensiple Software Solutions Pvt Ltd Chennai : Business Analyst

    Sensiple Software Solutions Pvt Ltd

    Company Profile
    Sensiple Software Solution is the Indian subsidiary of Epro Technologies NJ, USA. A World class IT Solutions provider by consistently delivering smart business solutions and mission is to provide simple tech solutions to complex business problems.


    Experience:
    1 - 4 Years
    Location:
    Chennai

    Job Description
    - To support the customers business requirements throughout the SDLC to ensuring a smooth transition.
    - Presenting proposals to clients
    - Working closely with development teams, testing teams and a variety of end users to ensure tech compatibility.

    Desired Candidate Profile
    BE/B.Tech/MBA/MCA graduate with good experience in requirement gathering and converting it into document.
    Should have experience in International Projects.
    Good Verbal, written Communication and presentation skills


    Email Address:
    sensiplehr@eprocorp.com

    http://www.sensiple.com


    Keywords: Business Analyst
    Last edited by Guest-IJT; July 13th, 2011 at 06:51 PM.

  2. Post Count Number #2
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    Name : ARUN
    Email : arns86 AT gmail.com
    Designation / Skillset : bangalore/software(development r testing)/c,c++,java,dot net
    This is ARUN
    Searching for software jobs(development r testing)
    please find my resume in word formate
    thanking you
    ARUN.S

    Resume :
    CURRICULUM VITAE
    Name : ARUN S Email: arns86 AT gmail.com

    Objective

    I seek an environment that is challenging and learning, and intellectually and professionally stimulating environment where I can apply my knowledge and skills to accomplish the dual objectives of contributing in the growth of my work place as well as enriching my own knowledge, skills and experience.
    Educational qualification
    Class/Course Name of Institute Board/University Year of Passing Marks%
    BE
    Computer Science & Engineering KNSIT,
    Bangalore Visvesvaraya Technological University 2011 55.35
    PUC PES PU college,
    Bangalore. PU Board 2004 43.66
    SSLC Bangalore Higher Secondary School, Bangalore. KSSEB 2002 61.76

    Technical Skills
    Key Skills(Languages) : C, C++, JAVA, C# & .NET
    Soft Skills : Adaptable, Team worker, Passion to learn new things
    Academic Projects
    B.E Project :
    Title : A NOVEL APPROACH FOR ONLINE SIGNATURE VERIFICATION
    USING FISHER BASED PROBABILISTIC NEURAL NETWORK
    Platform : C#.net
    Role : We described an effective method for online signature verification
    The rapid advancements in communication, networking and mobility have entailed an urgency to further develop basic biometric capabilities to face security challenges. Online signature authentication is increasingly gaining interest thanks to the advent of high quality signature devices. We propose a new approach for automatic authentication using dynamic signature. The key features consist in using a powerful combination of linear discriminant analysis (LDA) and probabibilistic neural network (PNN) model together with an appropriate decision making process. LDA is used to reduce the dimensionality of the feature space while maintaining discrimination between users. Based on its results, a PNN model is constructed and used for matching purposes. Then a decision making process relying on an appropriate decision rule is performed to accept or reject a claimed identity. Data sets from SVC 2010 have been used to assess the performance of the proposed system. The results show that the proposed method competes with and even outperforms existing methods.
    Hobbies
    Playing Cricket, listening to music.

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

    Place : Bangalore Name: ARUN S
    Date :
    -------------------------------------------------------
    More Information about this submission and submitter :-
    ___________________________________________________
    Submission ID : 4366359
    Date & Time : 13th Jul 2011 11:35 AM (UTC)
    IP Address : 1.23.208.20
    Browser Info : Mozilla/5.0 (Windows NT 5.1) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.112 Safari/534.30
    Predicted Country : --