Dimitrios Panagopoulos

Data Science Leader | Bridging PhD-Level Analytics & Executive Strategy

Location: Attiki, Greece

LinkedIn: linkedin.com/in/dpanagopoulos

Experience

Data Analytics and AI Consultant

2016 - Present

EY Greece

Manager (Oct 2022 – Present)

I led the engineering of frontier AI systems—including GraphRAG and Agentic workflows—that transform 48-hour manual processes into 2-hour automated cycles while establishing global AI governance standards.

  • Graph-Enhanced RAG: Directed a comparative technical evaluation of Microsoft GraphRAG, Neo4j, and LangChain frameworks; established industry-leading protocols for graph schema design to optimize retrieval precision in high-dimensional datasets.
  • Agentic AI Systems: Architected an AI Agentic Due Diligence system for the financial sector, reducing operational turnaround from 2 days to 2 hours (95% efficiency gain).
  • Global AI Strategy: Spearheaded the development of a comprehensive AI Lifecycle Strategy for a global NGO, defining global standards for risk control, accountability, and ethical model deployment.
  • Predictive Banking Analytics: Developed a Generative AI Early Warning System for corporate banking to identify M&A opportunities and default risks across enterprise client portfolios.
  • Strategic Growth: Managed data-driven initiatives for subscription-based banking bundles, utilizing behavioral analytics to optimize cross-sell marketing execution.

Senior Advisor (Oct 2017 – Oct 2022)

I architected the core data foundations for Europe’s largest financial institutions, remediating 20 years of legacy data for regulatory compliance and designing the primary customer segmentation engines used for bank-wide strategy. I have also worked in Supply Chain providing Analytics support to global organizations.

  • Big Data Remediation: Participated in a large-scale remediation project for a major European bank using PySpark and Apache Hive to resolve legacy data errors spanning over two decades for hundreds of thousands of customers.
  • Enterprise Segmentation: Developed the primary customer segmentation model for a leading Greek bank, creating the single source of truth for bank-wide reporting, marketing execution, and product development.
  • Business Intelligence: Designed and implemented advanced analytics and visualization tools for an award-winning Supply Chain Intelligence Platform using Power BI, transforming raw logistics data into executive-level insights.

Advisor (Mar 2016 – Oct 2017)

I utilized large-scale web scraping and NLP to provide competitive intelligence and foundational data frameworks for major retail and banking sectors.

  • Competitive Intelligence: Engineered a large-scale web scraping and Natural Language Processing (NLP) pipeline to analyze thousands of product pages for a major retail brand, enabling data-driven market positioning.
  • Baseline Segmentation: Built the initial data framework and customer segmentation models for one of Greece’s major retail banks.

Lecturer

2022 - Present

I am a Lecturer for a joint postgraduate program by National and Kapodistrian University of Athens and Athens University of Economics and Business

I shape the next generation of AI professionals by teaching the mathematical foundations and industrial applications of Machine Learning.

  • Postgraduate Education: Serve as a Part-time Lecturer for the Business Mathematics postgraduate program, covering Advanced Machine Learning and AI applications across the Departments of Mathematics and Economics of National and Kapodistrian University of Athens and Department of Informatics of Athens University of Economics and Business.

Founder – Lead Data Scientist

Jan 2013 – Mar 2016

Eureka Module (eurekamodule.com)

I pioneered the use of Topological Data Analysis (TDA) and Big Data frameworks to solve complex retail challenges, delivering leadership-validated market insights.

  • TDA Innovation: Leveraged Topological Data Analysis (TDA) to transition from Pure Mathematics to Applied Data Science, uncovering non-linear patterns in consumer behavior.
  • Recommender Systems: Developed a high-scale recommendation engine for a major supermarket chain using Python, Hadoop, and Mahout.
  • Validated Segmentation: Implemented k-means and hierarchical clustering for retail clients; results were formally validated by executive leadership to inform strategic marketing spend.

Lecturer of Mathematics

2009 - 2016

Various Universities

Taught undergraduate and postgraduate courses in Mathematics, delivering lectures on Calculus, Linear Algebra, and Probability Theory across multiple academic institutions.

Researcher

Mar 2004 – Aug 2006

National and Kapodistrian University of Athens

Researcher in Pure Mathematics.

Education

PhD in Mathematics

Feb 2009

National and Kapodistrian University of Athens

MSc in Pure Mathematics

Nov 2003

National and Kapodistrian University of Athens

Degree in Mathematics

Sep 1999

National and Kapodistrian University of Athens

Core Competencies & Technical Skills

Data Science Leadership AI Strategy Stakeholder Management GenAI / LLMs RAG Systems Python R SQL Neo4j (Graph DB) Azure Databricks Hadoop/Spark Power BI

Selected Publications

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