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Data Science with less than a year in biostatistics & data analysis
Mathematics graduate (completed in three years) and final-year MSc candidate in Biostatistics & Health Data Science at the National and Kapodistrian University of Athens (Medical School). Strong academic background in applied statistics, biostatistics, and health data analysis, with hands-on experience in clinical and longitudinal data, statistical modelling, survival analysis, missing data methodologies, and reproducible research. Skilled in data management, data quality assessment, and analytical problem-solving, with the ability to approach complex datasets with precision and critical thinking. Holder of a state-recognized Pedagogical and Teaching Competence certification in Mathematics.
National and Kapodistrian University of Athens – Medical School
MSc · Biostatistics & Health Data Science
September 1, 2024 – July 1, 2026
University of Thessaly
Mathematics
September 1, 2021 – July 1, 2024
Pedagogical and Teaching Competence in Mathematics
University of Thessaly
June 1, 2026 – Present
ICT Skills
University of Thessaly
June 1, 2026 – Present
Principles of Medical Research Methodology
National and Kapodistrian University of Athens – Medical School
June 1, 2026 – Present
Artificial Intelligence & Digital Creativity
Skillbox.gr
June 1, 2026 – Present
Survey Design
Instats
February 21, 2026 – Present
Introduction to Bioinformatics for Genomics
Instats
February 16, 2026 – Present
Machine Learning Essentials
Instats
February 16, 2026 – Present
Challenges of Research in Early Childhood
University of West Attica
November 1, 2025 – Present
2nd Mathematics Conference
Department of Mathematics, University of Thessaly
May 23, 2024 – Present
1st Mathematics Conference
Department of Mathematics, University of Thessaly
May 4, 2023 – Present
Cultural Fit Analysis
The candidate's academic pursuits in Biostatistics & Health Data Science, coupled with certifications in AI and Machine Learning, align well with a data science role, particularly in healthcare or research-oriented environments. Their participation in mathematics conferences and diverse certifications indicate a proactive and continuous learning mindset. The focus on reproducible research and data quality suggests a commitment to best practices. However, the lack of diverse project experience outside of academic research limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates critical thinking and precision in approaching complex datasets, as evidenced by their research project description. Their academic background and certifications suggest a strong aptitude for analytical problem-solving and a structured approach to data science challenges. However, without direct work experience, it's difficult to assess operational fit in a team environment or stress handling capabilities.