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Chamezopoulos Savvas

Senior Data Scientist | Tech Lead | AI & Machine Learning specialist

MSc Electrical and Computer Engineering, MSc Data Science

Download Resume (EN)

schamezopoulos@gmail.com LinkedIn

About Me

Senior Data Scientist with nearly 5 years building and shipping production AI/ and ML-centered systems at Elsevier. Technical lead across multiple concurrent projects, from discovery to production-grade deployment. Turns ambiguous, high-priority problems into measurable AI-based solutions, combining hands-on experience in ML, LLMs, and graph-based methods. Holds the ability to translate and explain complex technical concepts for non-technical audiences and align senior stakeholders. Looking to grow into a technical leadership role, shaping AI strategy and building teams that deliver real-world, measurable impact.

Experience

Elsevier B.V.

Senior Data Scientist

  • Technical lead for two data scientists across four concurrent projects, from discovery to production.
  • Developed and deployed a citation-risk detection system that reduced manual review effort from weeks to 2–5 seconds per article, achieving 8x the PR-AUC of a no-skill baseline on a task with a 2% positive rate.
  • Owned three shared capabilities adopted by several data science teams, including an evaluation platform for uniform comparison of adjacent systems and complex feature extraction from raw data, improving model performance and streamlining operations by 10% to 100%, depending on the application.
  • Championed AI-assisted, spec-driven development (powered by Claude Code and Codex) combined with test-driven development, sharing optimised ways of working and building AI skills across the team.
  • Led the development and deployment of an AI-generated text detection system, achieving an 85% F0.5 score and matching or outperforming all specialist external vendors benchmarked against.

Elsevier B.V.

Data Scientist III

  • Led the data science group for the early-stage Research Integrity programme, delivering proofs of concept in network analysis, anomaly detection and AI-generated text detection.
  • Built a publication-ethics screening prototype that screened 28M+ papers and flagged 170,000+ potential breaches each with ready-to-use evidence for the integrity team.
  • Data Science lead for policy-breach detection prototypes now used in large-scale investigations and journal audits, saving an estimated 20,000 hours of manual review.
  • Presented results and roadmaps to senior leadership, including C-suite executives, securing buy-in and investment that helped grow the programme into one of Elsevier's top two strategic projects.
  • Placed first and third in two CLIN33 AI-generated text detection shared-task tracks (2023), co-organised DagPap24 (ACL 2024).
  • Supervised two intern projects on LLM memorisation detection and AI in B2B sales.

Elsevier B.V.

Data Scientist II

  • Contributed to proofs of concept in classification, regression and anomaly detection.
  • Supervised an intern project on graph-based article classification, published in 2023.

Elsevier B.V.

Data Science Intern

  • Master's thesis internship with the University of Amsterdam on authorship graphs.

Hellenic Army, NRDC-GR (NATO Rapid Deployable Corps - Greece)

Lance Corporal, Information Systems (mandatory service)

  • Led a team of 15, managing night duty scheduling and reporting on unit operations to command staff.
  • Provided IT support to senior officers (generals, colonels), operating in a high-pressure, multinational environment.
  • 71st Airmobile Brigade, Information Systems Company:
    • Completed basic and advanced military training.
    • Handled daily personnel reporting to superior officers; tracking company status, attendance, and absence reasons.

NAVAGOS Beach Bar

Bartender

Seasonal, summers of 2018-2020

  • Served as bar manager in the final year.
  • Delivered fast, accurate service in a high-volume, fast-paced environment.

NATO

IMSS Assistant

Selected for NATO's summer student job program, one of a limited intake into IMS

  • Assisted IMSS with document handling and records management, supporting International Military Staff operations on declassification of documents.
  • Gained direct exposure to the structure and coordination mechanisms of a multinational military-political HQ.
  • Worked alongside personnel from multiple NATO member states in a highly international environment.

Dasaki coffee and more

Head of Staff/Bartender

Working in a local coffee shop is one of the most usual choices for university students. I worked there during summertime, as it was the only period I had the chance to do so, as engineering university took up most of my time. Nevertheless, I had the opportunity to start at the bottom of the hierarchy, as a waiter, and by the end of my time there I was the Head of Staff and a Bartender at the same time. It was a great experience, as I had the opportunity to manage a small number of staff while bartending at the same time, which helped me improve my multitasking skills and learn to perform under stress.

Education

University of Amsterdam

Sep 2021 - Aug 2022

Master's of Science on Information Studies: Data Science

Aristotle University of Thessaloniki

Nov 2014 - July 2020

Bachelor of Engineering with integrated Masters of Engineering in Electrical and Computer Engineering

Skills

AI & Machine Learning

Programming & Frameworks

Platforms & Tools

Soft Skills

Interests

Languages

C2 - Certificate of Proficiency in English

Issued by Univeristy of Michigan

B2 - Diplome d'etudes en Langue Française DELF

Issued by La Commision National du DELF et du DALF

Greek

Native

Dutch

A1

Publications

Overview of the DagPap24 Shared Task on Detecting Automatically Generated Scientific Paper

Association for Computational Linguistics · 2024

Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals

Quantitative Science Studies · 2024

Article Classification with Graph Neural Networks and Multigraphs

ELRA and ICCL · 2023

The CLIN33 Shared Task on the Detection of Text Generated by Large Language Models

Computational Linguistics in the Netherlands Journal · 2023

Link Prediction in Signed Social Networks: The Case of Bitcoin Users

XIV Balkan Conference on Operational Research · 2020