Imej profil rahulkdas
@rahulkdas
Penanda India Howrah, India
Ahli semenjak 13 Julai 2014
1 Cadangan

rahulkdas

Dalam Talian Luar Talian
My name is Rahul Kumar Das, I’m 28 years “young” and I live in Kolkata, India. I'm a freelance web developer. My main focus is Ruby on Rails Development.
$25 USD/hr
27 ulasan
4.6
  • 83%Kerja Diselesai
  • 94%Mengikut Bajet
  • 100%Tepat Pada Masa
  • 17%Kadar Ulang Upah

Portfolio

Ulasan Terkini

  • Imej Rodrigo A. 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”

  • Imej Joakim L. tax rates by city level within Magento $25.00 USD

    “The project is not completed according to the dispute”

  • Imej Vishal A. Write some Software ₹3333.00 INR

    “The project is not completed according to the dispute”

  • Imej 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”

  • Imej Vikrant B. Magento Project $140.00 USD

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

  • Imej Cordelia C. Product Page Redesigned. - open to bidding $60.00 USD

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

Pengalaman

Software Developer

Dec 2013

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

Pendidikan

Master of Computer Applications (MCA)

2010 - 2013 (3 years)

B.Sc. Computer Science

2007 - 2010 (3 years)

Penerbitan

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

Sijil

  • US English Level 1
    85%

Pengesahan

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