Evangelos Paschalidis
Research ScientistAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a quantitative researcher with expertise in statistical modelling, econometrics, and data analysis. My work has focused primarily on transport and behavioural research, where I analyse complex datasets, develop predictive and explanatory models, and generate evidence to support decision-making. I work extensively with Python and R and have experience designing analytical workflows, conducting forecasting and behavioural analyses, and communicating quantitative findings to both technical and non-technical audiences.
University of Leeds
PhD · Transportation - Discrete choice modelling
September 30, 2015 – October 20, 2019
Aristotle University of Thessaloniki
MSc · Transportation systems
September 30, 2012 – December 4, 2013
Aristotle University of Thessaloniki
Degree in engineering · Rural and survey engineering
October 1, 2005 – April 22, 2012
Cultural Fit Analysis
The candidate's academic and professional background is highly specialized in quantitative modelling and transportation systems, which aligns well with research-intensive environments. Their experience across different institutions (EPFL, University of Leeds, Aristotle University of Thessaloniki) and international settings (Switzerland, UK, Greece) suggests adaptability and an ability to thrive in diverse academic and research cultures. The breadth of skills, while deep in specific areas, is focused on research methodologies and tools (R, Python, SPSS, QGIS). The absence of project diversity outside of academic/research contexts limits the assessment of broader cultural fit in a more varied corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and research skills, crucial for a Research Scientist role. Their experience in presenting quantitative findings to diverse audiences suggests good communication and stakeholder management abilities. The focus on reproducible workflows indicates an organized and methodical approach to research. Collaboration in multidisciplinary teams highlights teamwork and adaptability. However, without specific psychometric or English test scores, a detailed assessment of work attitude, stress handling, and team collaboration is limited.