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@kdaqqa
Member since January 21, 2019
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kdaqqa

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Solid background in the technology of MS Office, Word, PowerPoint and "Format & Layout". Innovative IT professional offering vast experience leveraging software engineering and DevOps methodologies to deliver highly effective and creative solutions to business and technology challenges. Solid background in the technology of MS Office, Word, PowerPoint and "Format & Layout". Exceptional troubleshooting, training and documentation skills. Highly organized with strong capacity to prioritize workload, delegate deliverables, and steer project completion within established deadlines.
$15 USD/hr
2 reviews
2.0
  • 100%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • N/ARepeat Hire Rate

Portfolio

Recent Reviews

Experience

A Designer in the technology of MS Office

Apr 2019

A Designer in the technology of MS Office, Word, PowerPoint, Presentation Design and "Format & Layout". Operating System and Technical support.

Clerk and Technical support

Jun 2016 - Sep 2016 (3 months)

A technical support and Clerk at the Ministry of Labor, Khan Younis. And a Clark in the technology of MS Office, Word, PowerPoint, Presentation Design and "Format & Layout"

Education

82.2

2010 - 2014 (4 years)

Qualifications

International Computer Driving Licence (2017)

International Center for Training and Languages

ICDL - International Computer Driving Licence

Content management system (2011)

University College of Science and Technology

A Content management system (CMS)

Publications

Prediction and diagnosis of leukemia using classification algorithms

Algorithms used in data mining techniques are of great importance in the field of health care, especially in the case of getting patterns or models that are undiscovered in databases. In the area of health care, leukemia affects the blood status and can be discovered by using the Blood Cell Counter (CBC). This study aims to predict the leukemia existence by determining the relationships of blood properties and leukemia with gender, age, and health status of patients using data mining techniques.

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