Dimitris Papantzikos

Data Scientist

https://talent.gravityer.com/dimitris-papantzikos

Graduate in Mathematics @ AUTh. Entering the field of Machine Learning & AI while studying Mathematical Modelling & Computation @ DTU.

Athens, Attica Region, Greece

Key Strengths

Extensive personal project experience in Python and Jupyter Notebook, indicating practical exposure to data science tools.
Demonstrated interest in Machine Learning, Bayesian ML, and Social Graphs through coursework and projects.
Familiarity with various data science related technologies like Python, Jupyter Notebook, and basic web technologies (HTML, CSS, JavaScript) for potential deployment or visualization.

Cultural & Operational Fit

Cultural 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.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

get-shredded

April 16, 2026 – Present

Minimal SHRED baseline for cylinder-vortex data

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Mistral-Hackathon

February 28, 2026 – Present

Mistral-Hackathon — GitHub repository

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Advanced-ML

February 5, 2026 – Present

Advanced Machine Learning (DTU) coursework

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Data-Driven-Methods

February 5, 2026 – Present

Material from Data Driven Methods for Computational Science course from DTU.

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Bayesian-ML-coursework

February 2, 2026 – Present

Bayesian-ML-coursework — GitHub repository

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Social_Graphs_Assignments

September 24, 2025 – December 10, 2025

Social_Graphs_Assignments — GitHub repository

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Social-Graphs-and-Interactions

September 10, 2025 – November 16, 2025

A repository for my work on DTU's course Social Graphs and Interactions (02805).

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investor-matching-poc

May 16, 2025 – May 16, 2025

investor-matching-poc — GitHub repository

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python-hpc-wall-heating

March 26, 2025 – May 2, 2025

Mini Project for Python and High Performance Computing course

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Plant_Leaves_Classification_MLOps_DTU02476

January 10, 2025 – April 21, 2025

Plant_Leaves_Classification_MLOps_DTU02476 — GitHub repository

View Project

Key Strengths

Extensive personal project experience in Python and Jupyter Notebook, indicating practical exposure to data science tools.
Demonstrated interest in Machine Learning, Bayesian ML, and Social Graphs through coursework and projects.
Familiarity with various data science related technologies like Python, Jupyter Notebook, and basic web technologies (HTML, CSS, JavaScript) for potential deployment or visualization.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Dimitris Papantzikos

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit