Fresher it-2009

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Fresher it-2009

  1. 1. CURRICULUM VITAE Objective SUTHARSANAN.N To serve the organization with constant spirit, motivation, while also #9A,Rajiv Gandhi nagar, taking up interesting and innovative tasks that places my career in the Abdullapuram, Dusi post, path of growth in the organization. Cheyyar Taluk, Thiruvannamalai Dist., Tamilnadu, India.-631702. Academic Record 2005 – 2009 Bachelor of Technology E-Mail: Kanchi Pallavan Engineering College. suthar.btech@gmail.com Anna University Kanchipuram : +91-9789114007 Specialization: Information Technology Aggregate : 69% Personal profile: Father’s Name : Mr.K.Nagarajan Educational Record Date of Birth : 08th Oct 1987 Gender : Male 2004 – 2005 Higher Secondary Nationality : Indian Govt.Higher Secondary School Marital Status : Single Vembakkam. Aggregate: 76% Linguistic: 2002 – 2003 SSLC Spoken : Tamil, Govt.Higher Secondary School English Vembakkam. Write : Tamil Aggregate: 83% English Technical Profile Language : C, Java,VB. Platforms : Windows XP/2000 Database : SQL. Designing : Photoshop 7.0 Competencies  Good written communication and presentation skills.  Quick learner.  Self-starter and motivated.
  2. 2. Achievements  Got VISUAL PROGRAMMING Certification from EVERONN SYSTEMS. Interests and Hobbies  Participated in National Level Symposium conducted by SRM. Reading books , Playing Cricket and Listening Music  Member of National Green Corps/Eco club, during my school days.  Won 3rd Prize in Picasso(Drawing) during inter-college competition in Preferences : Arulmigu Meenakshi Amman College Engineering, Kanchipuram. Location : Anywhere Project Details Project Title : USING DATA MINING TECHNIQUES FOR PREDICTING FUTURE CAR MARKET DEMAND. Environment : .NET , SQL 2009 Duration : 3 Months Organization : LUMINOSOFT TECHNOLOGIES Description The application provides the aim of the project is to provide a proposed data mining solution that can be used for automotive market, as well as many other areas. Our project provide people, gathered information in order to produce automotive data mining solution are following things like,  Supply Chain Process  Manufacturing Process  Marketing Process Here we used basically five Modules that was Authentication ,Dealer Business centers ,Administrator ,Graphical Modules. Using this modules we can the graphical view of Which car scold mostly and which one is less and some other details. Comm Declaration I hereby declare that all the details furnished above are true and correct to the best of my knowledge and belief. Date : Place : Kanchipuram (SUTHARSANAN.N)

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