
Graduate in Mathematics @ AUTh. Entering the field of Machine Learning & AI while studying Mathematical Modelling & Computation @ DTU.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-Driven-Methods
February 5, 2026 – Present
Material from Data Driven Methods for Computational Science course from DTU.
View ProjectBayesian-ML-coursework
February 2, 2026 – Present
Bayesian-ML-coursework — GitHub repository
View ProjectSocial_Graphs_Assignments
September 24, 2025 – December 10, 2025
Social_Graphs_Assignments — GitHub repository
View ProjectSocial-Graphs-and-Interactions
September 10, 2025 – November 16, 2025
A repository for my work on DTU's course Social Graphs and Interactions (02805).
View Projectinvestor-matching-poc
May 16, 2025 – May 16, 2025
investor-matching-poc — GitHub repository
View Projectpython-hpc-wall-heating
March 26, 2025 – May 2, 2025
Mini Project for Python and High Performance Computing course
View ProjectPlant_Leaves_Classification_MLOps_DTU02476
January 10, 2025 – April 21, 2025
Plant_Leaves_Classification_MLOps_DTU02476 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic coursework or personal hackathon entries, which suggests a strong learning orientation and self-motivation. However, the lack of team-based or industry projects makes it difficult to assess collaboration or adaptability in a professional team setting. The projects align well with a Data Scientist role, demonstrating a clear interest in the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.