I’m a data professional specializing in trajectory mining, spatial data analysis, and software engineering — turning noisy GPS and sensor data into systems people can actually rely on.
I hold an MSc in Big Data and Analytics from the University of Piraeus with a grade of 9.13/10. My thesis, Accurate and Scalable GPS Route Reconstruction with Low Sampling Rate, laid the foundation for the production systems I now build.
Most recently I completed my service as an Analyst and Software Engineer at the Hellenic Army Informatics Support Center (HAISC), within the Simulation and War Games Department. Before that, I worked as a Researcher on the Horizon Europe Emeralds project, contributing to WP3 on extreme-scale map matching and “Mobility Analytics as a Service.”
Selected Work
- Pyehicle — Open-source Python library for GPS trajectory processing and reconstruction. Implements HMM map-matching, Kalman filtering, geodesic refinement, and curve interpolation on real road networks. Available on PyPI.
- WalletQR — Android app for QR-based wallet management.
- GreatNotes — Dockerized full-stack web application.
Recent Writing
I’m most engaged when the data is messy, the physics constrains the solution, and the algorithm has to scale. Currently open to Data Scientist, Data Analyst, and Engineer roles — especially those involving spatial data, sensor fusion, or mobility analytics.