Student at informatics, AUEB.
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Athens University of Economics and Business
Data Scientist
June 27, 2026 – Present
Information-Retrieval-Systems
November 21, 2025 – Present
A 3-stage Information Retrieval engine leveraging Elasticsearch, BERT embeddings, and RRF to implement a robust Hybrid Search strategy for EU Research Projects.
View ProjectSimple-Wordle-GR
July 25, 2025 – November 21, 2025
A Greek-language clone of Wordle game, built with Python and Tkinter.
View ProjectSimple-Chess
July 12, 2025 – November 21, 2025
Simple 2-player chess board using python-chess and pygame.
View ProjectArduino-Ethernet-LED-Controller-Web-Android
July 4, 2025 – December 26, 2025
Arduino-based LED Controller with Web & Android App Support (via Ethernet)
View ProjectMiniPythonCompiler
June 23, 2025 – November 21, 2025
A compiler for miniPython, a simplified subset of Python, built with SableCC. Includes lexical, syntactic, and semantic analysis with AST generation.
View ProjectWeb-Development
March 21, 2025 – Present
Part One: Static Website (HTML, CSS, JavaScript). Part Two: Dynamic Application (Web API, Node.js).
View ProjectACCESS
March 12, 2025 – July 25, 2025
ACCESS is an accessibility-focused web and mobile platform designed to assist people with disabilities in navigating urban environments. Built with Flutter, Dart, and Mapbox, it features real-time geolocation, geofencing-based notifications, and crowdsourced reports. A public web dashboard offers analytics with Power BI.
View ProjectRubik-s-Cube-Astar
February 22, 2025 – November 21, 2025
2D construction and solving of the Rubik's Cube using A (A-star).
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, indicating a strong interest in learning and applying various technologies. However, the projects do not strongly align with a typical data science role beyond the 'Information-Retrieval-Systems' project. The listed experience as 'Data Scientist' at Athens University of Economics and Business has a future start date, suggesting a lack of current professional data science experience. This indicates a potential gap in practical, industry-specific data science exposure, which might affect cultural fit within a dedicated data science team requiring immediate impact.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions indicate an ability to complete diverse technical tasks.