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Senior EngineerJun 2015 - Aug 2016 (1 year)
The product, Access Management System, which I have worked is a EMS software for managing a Network Element called DSLAM. The product entirely developed with Spring MVC Architecture and front end with Eclipse RCP. Worked as a member of development team which implements new features and do bug fixes. Created tool “Index Calculator” which helped in accomplishing the task faster and with more accuracy. Mentoring the new comers in team and provide proper guidance.
TraineeDec 2014 - Jun 2015 (6 months)
Implemented an automation tool in java application for AMS Alarm Domain Testing Purpose.
Software EngineerJul 2011 - Jul 2013 (2 years)
Worked as a Core Java Developer and trainer with expertise in J2EE, Android and Swing. Multiple projects handled. W3 STATUS ANALYSER: W3 status analyzer tool is used to gather statistics of the web site. This project helps in tracking java web pages through our own web application without relying on external tracking tools. ANDROID BROWSER: It is a browser built in android and suitable of all android phones.
Master's Degree - Computer Science and Engineering2013 - 2015 (2 years)
Btech Computer Science and Engineering2007 - 2011 (4 years)
Effective Web Personalization System Based on Time and Semantic Relatedness
The key aspect in building a Web personalization system is the user’s navigational pattern. However, the navigational pattern alone is insufficient to capture the user’s interest and behaviour. This paper proposes a novel web personalization system that accepts the timing information, semantic information along with the navigational pattern and classifies the users according their interest and behaviour on the site.
Building Web Personalization System with Time-Driven Web Usage Mining
Web personalization is a powerful tool used for personalizing the Websites. The personalization system aims at suggesting the Web pages to the users based on their navigational patterns. Use of attributes such as time, popularity ofWeb objects makes the model more efficient. This paper proposes a novel Web personalization model which utilizes time attributes, such as duration of visit, inter-visiting time, burst of visit, and the user’s navigational pattern.