Summary
Overview
Work history
Education
Skills
Languages
Accomplishments
graduation project
Timeline
Generic

raghad alqahtani

Summary

Veteran Computer professional skilled at managing ongoing technical projects and designing system advancement frameworks. Dedicated to maximizing budgetary spending to produce impressive returns on investment. Keen to lead company-wide operational and planning efforts. Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

Overview

4
4
years of post-secondary education

Work history

Network Security (Training)

أمانة منطقة عسير
Abha, 'Asir Region
  • Monitored network performance to identify problems and target solutions in advance of major incidents.
  • Researched new networking management techniques and technologies and recommended optimal updates.
  • Standardised job tasks and trained junior team members on best practices and standards for optimum systems operations.
  • Established and improved IT governance processes to keep pace with changing demands.
  • Analysed complex project server issues and worked on large enterprise and business-critical applications.

Education

bachelor of computer scinece -

king khalid university
Abha, 'Asir Region
09.2019 - 08.2023

Skills

  • Business Impact Assessments
  • IT taxonomy
  • Computer forensics
  • Cyber and digital forensics
  • Penetration testing
  • HTML coding
  • Portable code writer
  • PHP
  • Solutions deployment
  • Database programming
  • Web-based software engineering
  • Database management software
  • Software applications
  • C, C
  • SQL
  • Javascript
  • Programme testing software

Languages

English
Fluent
Arabic
Native

Accomplishments

    cultural olympiad award 2023 , king khalid university

graduation project

  • (counting product by computer vision)

 In this work, we use YOLOv 8 (You Only Look Once, Version 8) for Object detection and counting from a given image. The model is training on Common Object in Context (COCO) Dataset. The dataset has around 164K images based on 80 categories or classes. It predicts the types of objects present in that image and marks them accurately with the help of DNN (Deep Neural Networks) model andComputer vision. Then detected object will be counted according to its class label 

Timeline

bachelor of computer scinece -

king khalid university
09.2019 - 08.2023

Network Security (Training)

أمانة منطقة عسير

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raghad alqahtani