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Farukh M.

@pakipcs

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iPhone, KIOSK, C# .Net, Webservice, Flash AS, Hotel Business Center Products

$15 USD / Hour

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Pakistan (9:45 AM)

Joined on January 19, 2008

$15 USD / Hour

Creative and Feasiable work, Flash Scripting, Action scripting, .NET C#, Windows Applications, Windows Services, Web Applications, Web Services, Javascript, mobile programming, iOS, iPad, iPad

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Experience

Team Lead, Senior Software Engineer

Dec, 2010 - Present

14 years, 11 months

Interactive Group of Companies

Dec, 2010 - Present

14 years, 11 months

• Windows Application Development • Web Application Development • Web Service Development • Data mining Algorithm Implementation • GIS Programming • Mapping Server: GeoServer , Client-Side: Openlayers • MSSQL, Oracle • iPad Application Development • Major: C# .Net, GeoServer, Openlayer, Objective C, SOA, GIS

Dec, 2010 - Present

14 years, 11 months

Team Lead and Senior Software Engineer

Aug, 2005 - Nov, 2010

5 years, 3 months

Vertical Systems, Inc

Aug, 2005 - Nov, 2010

5 years, 3 months

• Digital Signage Development • iPad (In-house) App Development • Windows Application Development • Web Services Development, Windows Services Development • KIOSK application Development • Airlines and Aviation Data Application Development • Hospitality Domain Application Development. • Major: C# .Net, MSSQL, Objective C. Flash Action Scripting, Window Registry for KIOSK, JavaScript, SOA,

Aug, 2005 - Nov, 2010

5 years, 3 months

Education

Muhammad Ali Jinnah University

2007 - 2009

2 years

MS Computer Systems and Engineering

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Pakistan

2007 - 2009

2 years

Qualifications

Strategic Vision

2011

TimeLenders

2011

Publications

Web Usage Logging Framework for Data Mining

SINDH UNIVERSITY RESEARCH JOURNAL (SCIENCE SERIES)

Abstract— Stakeholders who take decisions based on web usage log mining can get good benefits of results that come in time. This is possible if the web usage data reach the mining engine within time. If the data that is being used for mining give complete picture of user side then it can put good impact on usage trend related decisions. Lots of data is available over Internet in different forms, one of them is website data. One of the ways to know the user’s usage trend is by analyzing the logs of web serve

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