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Data Science | Machine Learning | Artificial Intelligence | Software Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML and AI specialist , building and leading ML, AI & Data science teams and transforming businesses to tech/AI organisations.
Ethnikon kai Kapodistriakon Panepistimion Athinon
Doctor of Philosophy - PhD, Natural Language Processing
January 1, 2010 – January 1, 2018
National Technical University of Athens
Msc, Computational Lignuistics
January 1, 2008 – January 1, 2010
University of Piraeus
Bachelor of Science (BSc), Software Engineering
January 1, 1992 – January 1, 2006
Codec
Head of Data Science
November 1, 2020 – August 1, 2024
London Area, United Kingdom
OakNorth
Director, Machine Learning
January 1, 2019 – June 1, 2020
Argos
Lead Machine Learning Engineer
January 1, 2017 – December 1, 2018
London Area, United Kingdom
Royal Mail
Data Scientist - Senior Manager
November 1, 2015 – December 1, 2016
Pearson
Senior Data Scientist
March 1, 2012 – August 1, 2014
London
Enet.gr - ΕΛΕΥΘΕΡΟΤΥΠΙΑ - ELEFTHEROTYPIA
Senior Software Engineer
November 1, 2009 – March 1, 2012
Institute for Language and Speech Processing
Senior Software Engineer - Technical Manager
September 1, 2005 – November 1, 2009
VEMUS (Virtual European Music School)
June 1, 2005 – September 1, 2008
Research and development of an e-learning platform (Moodle) for distance music education IST-27952, FP6-2004-IST-4, IST#2004#2.4.13, 2005-2008
Cultural Fit Analysis
The candidate has worked in various companies and sectors (Codec, OakNorth, Argos, Royal Mail, Pearson, Enet.gr, Institute for Language and Speech Processing), indicating adaptability to different organizational cultures. The academic background and research project (VEMUS) suggest an inclination towards innovation and continuous learning. The target role of ML Engineer aligns well with the candidate's extensive experience in Machine Learning and Data Science, particularly with a focus on AI and NLP.
Soft Skills & Operational Fit
The candidate's progression into leadership roles (Head of Data Science, Director, Machine Learning) suggests strong leadership, project management, and potentially team collaboration skills. The long tenure in various companies indicates stability and adaptability. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.