Career Profile

Pragmatic, incisive, end-to-end data scientist proficient in practical implementations of Machine Learning, Natural Language Processing, and Document Understanding models, as well as visual storytelling, and conveying information to stakeholders with or without a technical background. I have both industry and academic experience and have worked with both private and public sector clients.

At the moment, I work as a Data Scientist at PS AI Labs. In the past, I was a Marie Skłodowska-Curie Fellow at University College London from where I received my Ph.D., and an Machine Learning Researcher at Queen Mary University of London. I also hold an M.Sc. in Information Security and an M.Eng. in Software Engineering.


Data Scientist II

Jul 2021 - Present

  • Acted as a data science consultant for EMEA-based projects of a global Robotic Process Automation (RPA) company. Developed Named Entity Recognition (NER), Computer Vision (CV), and Document Understanding (DU) models for several global companies in various fields (fintech, logistics, filtration).
  • Developed and implemented the methodology used for de-listing and/or replacing products for a major UK-based grocery chain by conducting basket analysis and customer behavior analytics.
  • Led several data scientist interviews for new hires.

Document Understanding Named Entity Recognition Computer Vision Robotic Process Automation Consulting

Data Scientist

Jan 2021 - Jun 2021

  • Got security-cleared to work on two government client projects and was in charge of collecting, cleaning, and analyzing large-scale social platform data.
  • Designed the project's classifying pipeline (involving among others BERT, XGBoost, Random Forest, and Feature Engineering).
  • Was visualizing data and extracting actionable insights using Plotly's Dash for various stakeholders.
  • Was in charge of data quality – built pipelines to ensure that deliverables are accurate, complete, and consistent.
  • Used AWS to store, manage, and extract relevant datasets (S3, Athena).
  • Was part of the grant proposal writing team – leveraged my academic expertise to write and win grants.
  • Consulted stakeholders on extremist speech detection, social platform data analysis, and the far-right.
  • Coached and mentored a Junior Data Scientist.

Machine Learning NLP Data Visualization Grant Proposal Writing Consulting

Machine Learning Researcher

Sep 2019 - Aug 2020

  • Trained and evaluated the performance of several ML and NLP models (XGBoost, Random Forests, BERT, Logistic Regression) in identifying online hate speech.
  • Measured and evaluated how engineered features affect the performance of hate speech classifiers.
  • Measured and evaluated how different dataset annotation techniques affect the performance of online hate speech classifiers.

Machine Learning NLP Classification Feature Engineering Dataset Annotation

Marie Skłodowska-Curie Fellow

Aug 2016 - Jul 2019

  • Awarded a Horizon 2020 Marie Skłodowska-Curie Fellowship for the Privacy & Usability Innovative Training Network.
  • Used ML and NLP techniques (Word Embeddings, LDA, Sentiment Analysis, Computer Vision) to study how direct-to-consumer genetic testing is being used by far-right groups to promote racist ideologies.
    Media Coverage The Times, StatNews
  • Conducted three large-scale studies on social media platform datasets (Twitter, Reddit, 4chan) consisting in total of more than 1.3M comments. Used NoSQL (MongoDB) to store, manage, and transform the datasets.
  • Critically evaluated and systematized the research produced by the genome privacy community in the context of privacy-enhancing technologies geared for testing, storing, and sharing genomic data.

Machine Learning NLP NoSQL Computational Social Science Privacy

Visiting Researcher

Sep 2017 - Dec 2017

  • Designed and ran a survey on the public perceptions of direct-to-consumer genetic testing.

Qualitative Research Survey Design

  • Studied how health and genetic data is being handled under GDPR.


Graduate Teaching Assistant

Oct 2014 - Jun 2015
University of the Aegean

Acted as a Teaching Assistant for the following courses:

  • Database Structures I.
  • Information System Analysis and Design.
  • Comprehending Data Structures using C and/or C++.
  • Learning the Java programming language.


Co-Founder and Author

Feb 2011 - Nov 2013

  • In 2011 I co-created which is at the moment the largest Greek community on Open Source Operating Systems and Software, featuring news, guides, and opinion articles on Linux, Android, Hardware, Hacking, Privacy, and Security. I was an active author until November 2013.

Opinion Blogging News Reporting Open Source

Skills & Proficiency


A non-exhaustive list of my main technical expertise.
Machine Learning NLP Data Visualization Feature Engineering NoSQL


A non-exhaustive list of tools that I am proficient with.
 Programming Languages: Python
 Libraries: Sklearn Matplotlib Plotly HuggingFace NLTK PyTorch Pandas
 Databases: mongoDB AWS Athena
 Various: Git Linux/Bash

Soft Skills

Skills that I have gained through experience.
Project Management Visual Storytelling Critical Thinking Analytical Skills Public Speaking Academic Writing Technical Communication

Selected Publications

Open-Source Projects

Oblivious Transfer Extensions: A concrete implementation of the IKPN03 protocol written in Java, using the SCAPI interface.
Java Cryptography
Daedalus: An academic schedule manager made for the department of Information and Communications Systems Engineering at the University of the Aegean.
Full Stack Development


Marie Skłodowska-Curie Fellow Scholarship

2016 - 2019
University College London

Received a Horizon 2020 Marie Skłodowska-Curie fellow scholarship for 3 years to investigate the societal challenges stemming from the rise of personal genomic testing. Acceptance Rate: 6%

University of the Aegean Scholarship

2015 - 2016
University of the Aegean

Received a scholarship for my M.Sc. studies at the University of the Aegean.