Systems Thinking
I design systems that remain stable, scalable, and consistent under real operational pressure.
Bridging product, data, and operations to build reliable reporting and revenue systems.
Focused on system reliability, data integrity, and decision-ready analytics for internal platforms and revenue environments.
I design and improve internal data and reporting systems used in real operational environments. My work focuses on turning complex data flows into reliable tools that teams can actually use to make decisions. I operate at the intersection of product, data, and system logic, translating business needs into structured, usable functionality.
I design systems that remain stable, scalable, and consistent under real operational pressure.
I define what should be built, why it matters, and how it aligns with business goals.
I ensure data is validated, consistent, and reliable before decisions are made on top of it.
Leading the evolution of internal reporting and revenue systems, with a focus on data reliability, product logic, reporting structures, and system functionality used in real operational environments.
Spectroscopic study of PAHs molecular systems within a co-funded national–EU research framework.
Research in solid-state physics with focus on fulleride materials, high-pressure studies, and Raman spectroscopy.
Post-graduate research at CPERI in Thessaloniki, linked to my Master’s thesis work on ferrite nanoparticles and bentonite-based nanofluids.
Provided private tutoring across secondary-school and university-level subjects in physics, mathematics, chemistry, statistical physics, optics, and condensed matter physics.
Led the evolution of an internal BI platform used across 100+ hotel accounts, focusing on data reliability, reporting logic, and system usability. Transformed the platform into a trusted system used for daily operational decisions.
Designed reporting structures and automated workflows that reduced manual reporting effort and improved consistency across projects, enabling faster and more reliable decision-making.
Identified and resolved critical data inconsistencies, eliminating the need for manual cross-checking and restoring trust in system outputs through stronger validation logic.
Contributed to the functional design of a Revenue Management System, defining dashboards, reporting logic, and forecasting-related structures aligned with real operational and strategic needs.
Presentation on how BI systems translate data into operational decisions in revenue management environments.
View eventMy academic background is in Physics, with research focused on complex systems, fulleride materials, and analytical methods under controlled experimental conditions.
This work shaped the way I approach system design today: analytically, structurally, and with strong attention to validation and reliability.
For product, data systems, analytics, or collaboration inquiries, feel free to reach out.