Georgios
Efthymiadis
Software Engineer
Data Analyst
I am a dedicated Full Stack Developer with over three years of professional experience, complemented by a strong background in Data Science. Holding an MSc in Data Science and Analytics, I have developed a robust skill set in programming, data modeling, and full stack development.

About
Throughout my career, I have worked on diverse projects, ranging from web and application development to data analysis and machine learning. My expertise spans both front-end and back-end technologies, allowing me to build comprehensive and efficient solutions. In addition, my data science skills have enabled me to incorporate predictive analytics and data-driven decision-making into my development work.
I thrive on continuous learning and self-improvement, always seeking to stay updated with the latest technologies and methodologies. I excel at collaborating with multidisciplinary teams, fostering positive relationships, and delivering high-quality results.
Currently, I am employed in a fulfilling role where I continue to grow and contribute. While I am not actively seeking new opportunities, I am always open to connecting with like-minded professionals and exploring innovative ideas in both full stack development and data science.
Skills
Python
C
R
Java
Javascript
Tableau
MySQL
Machine Learning
Apache Hadoop
Microsoft Power BI
ActiveMQ
Apache Kafka
PHP
Laravel
Spring Boot
ReactJS
NEXT.JS
Vite
Skills
Python
C
R
Java
Javascript
Tableau
MySQL
Machine Learning
Apache Hadoop
Microsoft Power BI
ActiveMQ
Apache Kafka
PHP
Laravel
Spring Boot
ReactJS
NEXT.JS
Vite
Professional Experience
July 2021 – February 2022
IT and Marketing Manager
Evomed Group SARL, Strasbourg, France
During my tenure at Evomed Group, I was responsible for digitizing company procedures to enhance efficiency. My key achievement was the implementation of an ERP system that streamlined processes such as CRM, order management, invoicing, and warehouse management.
March 2022 – Present
Full Stack Developer and Head of R&D Department
Skytrack SA, Thessaloniki, Greece
At Skytrack SA, I lead the R&D department and work as a Full Stack Developer. My notable projects include:
• POS2Cloud: Spearheaded the development of an M2M and IoT connectivity platform providing secure, seamless global SIM card services. Our platform offers unique features like automated usage reports, global roaming, and cost control, catering to partners such as Epirus Bank, QNB, Serres Bank, and Karditsa Bank. (Tools: ReactJS, Java, Spring Boot, ActiveMQ, Apache Kafka)
• CarBnB: Developed a comprehensive platform for vehicle rentals and tourist services, integrating online payments and booking functionalities. CarBnB was awarded the bronze in Digital Customer Experience Optimization Systems at the Tourist Awards 2024. (Tools: ReactJS, Laravel, PHP)
Other Projects
March 2020 – September 2020
Machine Learning Invades the World of Economics
The Case of Football Club Share Prices. Project Objectives: A research project to examine whether the share price of a football club can be predicted with the use of machine learning methods, based on several variables, assessing a football club’s match performance.
Tools: R, Machine Learning
January 2020 – March 2020
Statistics Model Creation for Predictive Business Analysis Project Objectives:
Develop a statistics model to predict the closure of a business based on several variables that characterize the business. Develop a dashboard to visualize a range of statistics concerning the business data.
Tools: R, Python, Machine Learning
January 2020 – March 2020
Data Visualisation Project Project Objectives:
Dashboards creation for insights discovery about the concerning relationship between the National Footprint Accounts and the GDP of various countries or continents.
Tools: Tableau, Power BI, R
January 2020 – March 2020
Big Data Project: The affection of the GDP in the U.K.
Predictive analysis based on immigration level, unemployment and population Project Objectives:
January 2020 – March 2020
Big Data Project: The affection of the GDP in the U.K. Predictive analysis based on immigration level, unemployment and population Project Objectives:
Handled a wide range of machine learning methods to predict the GDP of the United Kingdom for a specific year based on immigration, unemployment and population of the country in the same year.
Tools: R, Machine Learning
November 2019 – January 2020
Mobile Application: Eurolytics 2020 Project Objectives:
Development of a mobile app with MapReduce framework and Java as a programming language. Develop a statistical background for all the European Championship football matches for the past 60 years.
Tools: Java, Hadoop, MapReduce
March 2019 – September 2019
Research project: The relation between Knowledge base YAGO with Twitter’s Trending Topics Project Objectives:
Conducted research whether YAGO could be used for the search of information regarding names, locations, facts or objects which are likely to be mentioned in a user’s tweets with the use of NLP techniques.
Tools: Java, MySQL, Natural Language Processing (NLP)
Education
2019-2020
MSc in Data Science and Analytics
Brunel University of London, United Kingdom
Graduated with Distinction, specializing in key aspects of data science and analytics. My coursework included Quantitative Data Analysis, Modern Data and Data Visualization, Machine Learning, Ethics and Governance of Digital Systems, Digital Innovation and Strategy, and High-Performance Computation. I also managed a comprehensive research project, developing practical skills with tools like Hadoop, Spark, and Tableau, and programming languages such as R and Python.
2012-2019
BSc in Computer Science and Engineering
University of Ioannina, Greece
Completed my Bachelor’s degree, Second-class Honors (2:2), with a strong focus on Software Development and Relational Databases. Key modules included Data Structure Design, Probability and Statistics, Software Development, Operating Systems, Artificial Intelligence, Data Mining, Applied Statistics, Numerical Linear Algebra, and Microprocessors. My dissertation, “Study of YAGO Knowledge Base in Relation to the Trending Topics of Twitter,” involved significant research and analytical work.
Contact Me
Feel free to contact me with any inquiries or questions!