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@rahulkdas
Bandeira de India Howrah, India
Membro desde 13 de julho de 2014
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rahulkdas

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My name is Rahul Kumar Das, I’m 25 years “young” and I live in Kolkata, India. I'm a freelance web developer. My main focus is Magento Development.
$25 Dólares/hora
27 comentários
4.6
  • 83%Trabalhos concluídos
  • 94%No Orçamento
  • 100%Pontualmente
  • 17%Taxa de Recontratação

Portfólio

Comentários recentes

  • imagem de atcoto Simple Rest API in Ruby 2.4.x and Rails 5 (...use Scaffold) $25.00 USD

    “After the deadline for a simple project for a ruby developer, he told is not able to complete the job”

  • imagem de yoakim tax rates by city level within Magento $25.00 USD

    “The project is not completed according to the dispute”

  • imagem de vishalwcs Write some Software ₹3333.00 INR

    “The project is not completed according to the dispute”

  • imagem de Shivam K. Solve errors in magento $17.93 USD

    “He is an expertise....you can rely on him.... Solved the problem in minutes....Wonderful work thankyou so much [17 December, 2015] He is an expretise in magento... you can rely him and give more projects to him.,,,Thankyou so much you solved my problem [17 December, 2015] wonderful work....Solved problems in minutes”

  • imagem de Softwebworks V. Magento Project $140.00 USD

    “Good job done. Will contact for more projects.”

  • imagem de devwebpge Product Page Redesigned. - open to bidding $60.00 USD

    “Great freelancer. Done all minor tasks that were asked for. Will hire again.”

Experiência

Software Developer

Dec 2013

Magento Module Development, Magento Frontend Design and Theming, Product Development, Bigcommerce Development

Educação

Master of Computer Applications (MCA)

2010 - 2013 (3 years)

B.Sc. Computer Science

2007 - 2010 (3 years)

Publicações

Handwritten and Printed Word Identification Using Gray-scale Feature Vector and Decision Tree Classifier

Document image analysis is one of the important steps towards a paper free world. An effective Optical Character Recognition (OCR) system would be helpful for achieving this fit. But the next question may arise that whether a single OCR system will be sufficient for encoding both handwritten and printed text or not. So to come out of this dilemma, the work as reported here determines the category of a word from the document images containing words both in handwritten and printed forms. A 6- elements feature

Certificações

  • US English Level 1
    85%

Verificações

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