Syed Mubashir R. Profile

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$25 USD / hour

muscat,

oman

$25 USD / hour

It's currently 10:03 AM here

Joined January 12, 2019

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Syed Mubashir R.

@SMubashirRazzaq

0.0

(0 reviews)

0.0

$25 USD / hour

muscat,

oman

$25 USD / hour

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Computer Engineer

I am a professional Virtual Assistant My CORE COMPETENCIES are 1. Data Entries - Web based / non Web based 2. Translations 3. Conversions of files - pdf to word and image to text etc.. 4. Academic Writing 5. Content Writing 6. Assignments and projects 7. C & C++ Programming 8. HTML ,CSS, Javascript 9. Java projects 10. Cisco projects 11. MS Office all projects I deliver work on time just work once. Regards

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Portfolio

9001104

PowerPoint Presentation

Excel Sheet Work

9001078

Academic Writing Assignment

9001104

PowerPoint Presentation

Excel Sheet Work

9001078

Academic Writing Assignment

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Experience

Axproz

Jan 2011 - Present

From the time that I have started working axproz I learned a lot & I am well-versed in working on your project, as I have worked on a similar one before. Meeting deadlines is one of my talents that surpasses many others. And I am diligent in providing deliverables. If I am hired for this project, I will be able to give it my full attention and will deliver on time. Apart from this, I possess all the skills that you have needed, and can effectively work towards tight deadlines.

Education

M.Ed.

University of the People,

United States

2020 - 2021

(1 year)

MBA

Birkbeck, U. of London,

United Kingdom

2010 - 2012

(2 years)

BS Computer Engineering

Sir Syed University of Engineering and Technology,

Pakistan

2004 - 2008

(4 years)

Qualifications

Axproz

2011

Windows Server Administrator 2012,,,,,2016,,,,,2019

Google

2007

G-SUITE Email Domain Controller

Cisco

2007

CCNP

Publications

Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection

hindawi

Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection 'is paper introduces a new integrated learning approach towards developing a new network intrusion detection model that is scalable and adaptive nature of learning. 'e approach can improve the existing trends and difficulties in intrusion detection. An integrated approach of machine learning with a knowledge-based system is proposed for intrusion detection.