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Data Analyst · Statistical Researcher · Fisheries Dynamics Biologist · PhD

Eirini Mantzouni

Athens, Greece emantzoo.github.io LinkedIn GitHub

Skills

Languages

Python, R, SQL, DAX, JavaScript

Data & BI

Pandas, Power BI, Tableau, Plotly, ggplot2, R Shiny, Streamlit

Web & Backend

Django, HTMX, MongoDB, SQLite, PostgreSQL

AI / ML

LLM integration, RAG pipelines, prompt engineering, scikit-learn, SDC

DevOps & Cloud

Docker, Google Cloud Run, Azure, GitHub Actions

Other

ArcGIS, QGIS, GDPR compliance, Agile, pytest

Education

PhD — Quantitative Ecology & Statistical Modeling

University of Copenhagen / DTU-Aqua, Denmark · 2006–2010

Marie Curie Fellowship · META-OCEANS network

MSc — Ecology & Environmental Management

University of Patras · 2003–2006

BSc — Biology

University of Patras · 1998–2003

Languages

Greek — Native
English — C2 Proficient
German — Basic

Certifications

Google Advanced Data Analytics 2025
Google Business Intelligence 2025
Azure ML for Data Scientists 2025
Microsoft Power BI & Power Virtual Agents 2025
Data Visualization with Generative AI · Microsoft 2025
Geospatial Analysis with ArcGIS · UC Davis 2025

Data Analyst and full-stack application developer with 8+ years of experience in statistical modeling, ETL pipelines, and business intelligence. PhD in Quantitative Ecology (Marie Curie Fellowship, University of Copenhagen). Expert in Python, R, SQL, Power BI, and cloud deployment — delivering production-grade data systems for EU institutions, government agencies, and research projects.

External Expert for the EU Scientific, Technical and Economic Committee for Fisheries (STECF/JRC) since 2017, contributing to stock assessments, regulatory impact analyses, and fisheries data infrastructure across 9+ Expert Working Groups. Currently contributing to European Commission projects (DG EMPL) involving AI-powered analytics and digital transformation.

Selected Projects

Statistical Disclosure Control — Streamlit App

Production anonymization application protecting individual-level datasets against re-identification. Backward elimination risk analysis, 40+ rule decision engine, adaptive retry loop with cross-method fallbacks. Four protection methods; optional AI column classification via Cerebras API and R/sdcMicro integration. Validated on 17-dataset test suite including Greek administrative data.

Python · Streamlit · Pandas · Plotly · scikit-learn · R/sdcMicro · Cerebras API

Policy Intelligence Platform — Django + HTMX

Policy analytics platform monitoring the EU Council Recommendation on Fair Transition across 27 member states (DG EMPL). 1,000+ policy measures from MongoDB, 14 interactive Plotly visualizations with 11 filter dimensions, and AI-powered analysis including RAG-based semantic policy search.

Python · Django · HTMX · MongoDB · Plotly · Tailwind CSS · Cerebras API · Cloud Run

Digital Maturity Assessment Dashboard — R Shiny

Interactive dashboard for digital maturity assessment of Greek businesses. Full diagnostic reports: SWOT classification, priority matrices, gap analysis, roadmaps, and AI-generated narratives per tab. Three data-entry modes including AI conversational assessment. Deployed on Cloud Run.

R · Shiny · bslib · ggplot2 · plotly · Cerebras API · Docker · Cloud Run

IAP Citrus — R Shiny (PRIMA Grant, PLANT-B)

Production web application for quantifying pesticide environmental footprint in real time across 4 Mediterranean countries. SQLite database with 15+ tables and 9,000+ reference records. Extends the IAP methodology developed at BPI/SAGE10. Dockerized and deployed on Google Cloud Run.

R · Shiny · bslib · SQLite · Docker · Google Cloud Run

Power BI Dashboards from Code — Zero Manual UI Work

4 production-ready Power BI dashboards (E-Commerce, Hospital, HR, Supply Chain) built entirely from code. MCP Server for data loading, relationships, and 135 DAX measures. Python scripts generate all visual pages as PBIR JSON files. Reproducible, version-controllable, zero drag-and-drop.

Power BI · DAX · Python · PBIR/JSON · MCP Server

Full project details, architecture notes, and live demos: emantzoo.github.io

Experience

Data Analyst / Statistical Researcher Jul 2025 – Present

Athens, Greece

  • Design and implement ETL pipelines and SQL-based solutions for EU project data sources
  • Build and deploy interactive dashboards using Power BI, Tableau, R Shiny, and Streamlit
  • Develop AI-powered reporting and policy monitoring systems (DG EMPL, Fair Transition)
  • Implement statistical disclosure control pipelines; built SDC Methods Library
  • Ensure GDPR compliance and data quality assurance across all deliverables
Business Data Analyst Apr 2025 – Jun 2025

National Documentation Centre (EKT), Hellenic Ministry of Digital Governance · Athens

  • Built automated reporting application for Digital Maturity Assessments: radar charts, SWOT, gap analyses, implementation roadmaps
  • Led data collection and interpretation of self-assessment questionnaires from 50+ beneficiary organizations
  • Supported SmartAttica-AtHeNAI EDIH project for digital transformation of Greek SMEs and public sector across 6 dimensions
External Expert — STECF Working Groups 2017 – Present

European Commission / Joint Research Centre

  • Invited expert across 9 EWGs: FDI Evaluation (24-11), Technical Measures Regulation (24-16, 23-15, 22-19), Landing Obligation (23-04), FDI (23-10), CFP Monitoring (18-15), Mediterranean Stock Assessments (17-15)
  • Statistical modeling, stock assessments, regulatory impact analyses, and technical report co-authorship
  • Contributed to ICES Working Groups: WKBIOPTIM2 (2018), WGCATCH (2017), WKCFCC (2008), WKHIST (2008)
Regulatory Data Analyst / EUSAIR Coordinator Sep 2022 – Mar 2025

Hellenic Ministry of Rural Development and Food · Athens

  • Drafted national fisheries legislation transposing EU CFP obligations into Greek law
  • Developed National Control Programs for fisheries; produced manuals, guidelines, and decision-support software tools
  • Coordinated EUSAIR Pillar 1 (Blue Economy) across Adriatic-Ionian member states (2023–2024)
Statistical Consultant (Freelance) / STECF Expert Jan 2019 – Aug 2022

Athens, Greece

  • Continued participation in EU STECF Expert Working Groups throughout this period
  • Statistical analysis and data consulting for research projects
Research Data Analyst Apr 2017 – Dec 2018

Fisheries Research Institute, Hellenic Agricultural Organisation · Kavala

  • EU National Data Collection Program (DCF): data processing, statistical analysis, and quality control
  • Developed data integration architecture and regional database systems for the Mediterranean and Black Sea (STREAM project)
  • Built stock assessment tools in R; produced analytical outputs for STECF data calls
Lecturer — Fisheries Dynamics 2016 – 2017

University of Patras, Department of Fisheries and Aquaculture Technology

Research Scientist / Scientific Secretary 2011 – 2014

Benaki Phytopathological Institute · EU LIFE SAGE10 (LIFE09 ENV/GR/000302)

Developed and validated the IAP method for quantifying environmental footprint of olive cultivation across biodiversity, ecotoxicology, pollution, and human health compartments. Methodology later adapted for citrus orchards under PRIMA PLANT-B.

  • Developed and validated the IAP scoring methodology; trained agronomists across partner institutions
  • Coordinated project work packages; monitored implementation and reported to the EU
  • Co-authored peer-reviewed publications, technical reports, and conference presentations
Postdoctoral Researcher Sep 2010 – Mar 2011

University of Copenhagen, Centre for Macroecology, Evolution and Climate

  • Marine biodiversity research; statistical modeling lectures for postgraduate students

Selected Publications

Mantzouni, I., Sørensen H., O’Hara, R. and MacKenzie, B.R. (2010). Hierarchical modeling of temperature and habitat size effects on population dynamics of North Atlantic cod. ICES Journal of Marine Science 67: 833–855.
Mantzouni, I. and MacKenzie, B.R. (2010). Productivity responses of a widespread marine piscivore, Gadus morhua, to oceanic thermal extremes and trends. Proceedings of the Royal Society B 277: 1867–1874.
Mantzouni, I., Somarakis, S., Moutopoulos, D.K., Kallianiotis, A. & Koutsikopoulos, C. (2007). Periodic, spatially structured matrix model for the study of anchovy population dynamics in N Aegean Sea. Ecological Modelling 208: 367–377.
Moutopoulos D.K., Prodromitis G., Mantzouni I., Koutsikopoulos C. (2016). Quantifying the implementation of Common Fisheries Policy. Marine Policy 70: 65–76.

8 peer-reviewed publications in total. 10+ EU STECF technical reports as contributing author.