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Data Science with less than a year in Fraud Prevention and strong academic background in Statistics.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
With a strong academic background in Mathematics, Statistics and Operations Research, I am expanding my expertise through an MSc in Biostatistics & Health Data Science. I apply statistical methodology, data analysis techniques, and programming to real-world biomedical and analytical problems, with a growing focus on health data, clinical research, and machine learning. I excel at translating complex data into clear, actionable insights and delivering precise, evidence-based work supported by strong communication skills.
National & Kapodistrian University of Athens, Medical School – Department of Mathematics
MSc. · Biostatistics & Health Data Science
October 1, 2024 – Present
National & Kapodistrian University of Athens, Department of Mathematics
BSc. · Mathematics, specializing in Statistics and Operations Research
October 1, 2020 – April 1, 2024
Etraveli Group
Fraud Prevention Investigations Specialist
February 1, 2026 – Present
Athens, Attica Region, Greece
The Athens Version Luxury Suites
Hotel Receptionist
April 1, 2024 – October 1, 2024
Athens, Attica Region, Greece
Cultural Fit Analysis
The candidate's academic background is strong and diverse within mathematics and statistics. However, the professional experience is not directly related to data science, which limits the assessment of cultural fit within a technical team environment. The listed soft skills suggest a potential for good collaboration and communication, but practical application in a data science setting is unproven. The candidate is currently pursuing a Master's degree, indicating a commitment to continuous learning and development, which is a positive cultural attribute.
Soft Skills & Operational Fit
The candidate lists soft skills such as Team Collaboration, Client Communication, Analytical Thinking, Adaptability, and Cultural Awareness. While these are valuable, there is no direct evidence from professional experience descriptions to validate their application in a data science context. The current professional experience as a 'Fraud Prevention Investigations Specialist' and 'Hotel Receptionist' does not directly align with the operational demands of a senior data science role, making it difficult to assess operational fit without further information.