Ioannis Klasinas
Backend EngineerLead Data scientist
Dialectica
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Data scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technical University of Crete
Master of Science (MSc), Electronic & Computer Engineering
January 1, 2005 – January 1, 2008
Technical University of Crete
5 year degree, Electronic & Computer engineering
January 1, 1999 – January 1, 2005
Dialectica
Lead Data Scientist
January 1, 2024 – Present
Dialectica
Senior Data Scientist
April 1, 2023 – December 1, 2023
Gaspardesk Inc.
Lead Data Scientist
February 1, 2021 – September 1, 2022
Workable
Senior Data Scientist
June 1, 2018 – May 1, 2020
Workable
Machine Learning Engineer
January 1, 2017 – June 1, 2018
Behavioral Informatix
Consultant
December 1, 2015 – April 1, 2016
Πολυτεχνείο Κρήτης - Technical University of Crete
Research Assistant
June 1, 2012 – December 1, 2015
Fondazione Bruno Kessler (FBK-irst)
Research Intern
March 1, 2010 – September 1, 2010
LORIA
Research Intern
June 1, 2008 – July 1, 2008
Nancy Area, France
IRIT
Allocation de Recherche
October 1, 2007 – September 1, 2010
Fondazione Bruno Kessler (FBK-irst)
Summer school of machine translation
June 1, 2006 – June 1, 2006
Babyffect
February 1, 2014 – December 1, 2015
Speaker diarization in real environment recordings. Developed an automatic screening tool for classifying toddlers into Typical Development/Language Disorder/Autism Spectrum Disorder.
SpeDial
December 1, 2013 – December 1, 2015
Worked on crosslingual spoken language grammar adaptation. Developed an active learning system to identify errors in the output of a commercially deployed call routing system for the banking sector (Greek language).
PortDial
June 1, 2012 – July 1, 2014
Web harvesting for a variety of languages/domains, grammar enhancement for Spoken Dialog Systems, collaboration with partners of diverse technical/culural background.
Cultural Fit Analysis
The candidate has a strong academic background and diverse experience across research institutions and industry, including international collaborations (e.g., PortDial, SpeDial projects, internships in France and Italy). This indicates adaptability and an ability to work in varied cultural and technical environments. The progression from Research Assistant to Lead Data Scientist roles shows ambition and continuous learning. The project diversity, ranging from web harvesting to medical diagnostics (Babyffect), suggests a broad interest in applying ML/DS to different domains. However, the target role is 'Backend Engineer', while the experience is heavily skewed towards 'Data Scientist' and 'Machine Learning Engineer'. This represents a potential mismatch in core responsibilities, though the technical skills (Python, gRPC, Elasticsearch) are relevant.
Soft Skills & Operational Fit
The candidate's experience as a consultant and lead data scientist suggests strong problem-solving, project management, and communication skills, which are crucial for operational fit. The descriptions of identifying goals with customers and communicating results indicate a client-facing and collaborative approach. However, without specific psychometric test results, a definitive assessment of stress handling or team collaboration is not possible.