At a glance

  • Technology Consultant @ EY Greece (Sep. 2025 – Onwards).
  • Former Data & AI Business Analyst @ Accenture Greece (2023 – 2024).
  • Graduated from the Department of Computer Engineering and Informatics (CEID) – University of Patras (July 2023).
  • Tech Certifications: Microsoft Azure AZ-900 (September 2025)
  • Tech interests: Internet of Things (IoT), Ubiquitous Computing, Software Engineering, Artificial Intelligence (AI) & Machine Learning (ML), WEB Technologies, Big Data Systems, and Data Science.

Education

Aug 2023 – Present

Supervisor: Prof. Spyros Sioutas

Publications:
1. Balatsouras, C.-P.; Karras, A.; Karras, C.; Karydis, I.; Sioutas, S. WiCHORD+: A Scalable, Sustainable, and P2P Chord-Based Ecosystem for Smart Agriculture Applications. Sensors 2023, 23, 9486. https://doi.org/10.3390/s23239486

Oct 2017 – Jul 2023

Diploma Thesis Topic (Proposed by me): “Development of a smart structured P2P sensor system for Internet of Things (IoT) application support in an agricultural environment with cloud computing technologies”

Publications:
1. C. -P. Balatsouras, A. Karras, C. Karras, D. Tsolis and S. Sioutas, “WiCHORD: A Chord Protocol Application on P2P LoRa Wireless Sensor Networks,” 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022, pp. 1-8, doi: 10.1109/IISA56318.2022.9904339.

Accomplishments as a student:
– Participation with Conference Paper on the “13th International Conference on Information, Intelligence, Systems & Applications (IISA 2022)” (July 18-20 2022, Corfu, Greece)
– Logic Design Lab Assistant (Spring 2019)
– Project “Basic Electronics: Exercises With NI MULTISIM” (Summer 2019)
– Presentation about “Basic Electronics: Introduction on NI MMULTISIM” (December 12, 2019)

Professional Experience

Sep 2025 – Present

Full Stack Software Engineer, Front-end development oriented, at the Technology Consulting Service Line of EY Greece.

Nov 2024 – Aug 2025

Sep 2023 – Nov 2024

Visualization & Interaction Science Analyst at the Applied Intelligence (Data & AI) department of Accenture Strategy & Consulting Service Line.

Oct 2021 – Feb 2022

Topic: Energy Disaggregation on Electrical Load Monitoring with Machine Learning Technologies