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Kasarani
vezoel zubedah

vezoel zubedah

Expert in Machine Learning and AI

Technology / Internet

Kasarani, Nairobi Area

Social


Services offered

I am a tech enthusiast. I love everything about technology, from the latest gadgets to the most cutting-edge software. I am always eager to learn about new technologies and how they can be used to make our lives better.

I am also passionate about sharing my knowledge of technology with others. I believe that everyone should have the opportunity to learn about technology and how it can be used to their advantage. I am a regular contributor to online forums and communities, and I am always happy to answer questions about technology.

I believe that technology has the potential to change the world for the better. I am excited to see how technology will evolve in the years to come, and I am committed to using my knowledge and passion to help make that happen.

Here are some of the things I enjoy doing as a tech enthusiast:

  • Reading about new technologies, eg. AI 
  • Watching technology videos
  • Attending technology conferences
  • Trying out new gadgets
  • Learning about how technology works
  • Helping others learn about technology
Approximate rate: KSh 800 per hour

Experience

  • Teaching Assistant, Chuka University,  2021
    • Taught introductory computer science courses to undergraduate students
    • Led weekly discussion sections and graded assignments
    • Helped students learn the fundamentals of computer science

Education

  • Chuka University, Bachelor of Science in Applied Computer Science, expected graduation October 2023
  • GPA: 3.9/4.0
  • Coursework:
    • Data Structures and Algorithms
    • Object-Oriented Programming
    • Software Engineering
    • Database Systems
    • Computer Networks
    • Operating Systems
    • Computer Architecture
    • Machine Learning
    • Artificial Intelligence

Skills

  • Programming Languages: Java, Python, C++, C
  • Software Development Tools: Eclipse, IntelliJ IDEA, Visual Studio
  • Cloud Computing: AWS, Azure, Google Cloud Platform
  • Databases: MySQL, PostgreSQL, Oracle
  • Operating Systems: Windows, Linux, macOS
  • Networking: TCP/IP, HTTP, DNS
  • Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests
  • Artificial Intelligence: Natural Language Processing, Computer Vision

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