Panikos Christou

Panikos Christou

About Me

An excellent Data Science MSc graduate at the University of Cyprus. I am a hardworking individual who is passionate about the subject I study. Throughout my career, I have had the opportunity to work on many projects, using many technologies and constantly improving in my field. You can find projects on the programming languages above on my GitHub.

Experience

February 2024 – Present - DevOps Engineer

At Amdocs, Limassol, Cyprus

  • CI/CD Implementation: Implemented continuous integration and continuous deployment practices using Jenkins, enhancing build and deployment efficiency.
  • Automation Scripting: Developed Linux automation scripts to streamline system operations and reduce manual intervention.
  • Kubernetes Deployment: Deployed and managed containerized applications using Kubernetes on AWS Cloud, improving scalability and reliability.

March 2022 – Present - Software Developer

At Networks Research Laboratory, Nicosia, Cyprus (Full time and part time after Amdocs)

  • Web Application Development: Built and maintained web applications using Vue.js and PHP (Laravel), enhancing user experience and functionality.
  • Database Management: Designed and optimized databases with MySQL and Redis.
  • API Development: Developed RESTful APIs for seamless communication between client and server applications.

June – August 2023 - Quantitative Analyst Intern

At Tickmill, Limassol, Cyprus

  • Created trading strategies using financial data and utilized Python, Jupyter, and Pandas.

June – August 2021 - Software Developer Intern

At AC Goldman Solutions, Nicosia, Cyprus

  • Developed a React.js front-end integrated with a Python Flask backend, implemented JWT authentication, and integrated external APIs.

Bachelor’s Diploma Project

Title: "Machine Learning Inference Performance Evaluation on Edge to Cloud Infrastructures"

Grade: 10/10

Built edge-to-cloud architecture with Docker and docker-compose and implemented object detection using PyTorch models.

Highlighted Courses Grades

Course Degree Grade
Diploma Thesis BSc 10/10
Internet Technologies BSc 10/10
Probability and Statistics for Data Science MSc 9.5/10
Introduction to Data Science and Analytics MSc 9.5/10
Big Data Analytics MSc 9.5/10
Algorithms and Complexity BSc 9.5/10
Human Computer Interaction BSc 9.5/10