Panagiotis (Panos) Dimitrakopoulos

Data Scientist

https://talent.gravityer.com/panagiotis-panos-dimitrakopoulos

PDRA at University of Edinburgh, Member of the CHAI HUB.

Edinburgh

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'wasserstein-distance', 'ukairs25-feature-attributions', and 'learnable_strides'.
Experience with Python, Jupyter Notebook, and R, which are core technologies for a Data Scientist role.
Exposure to specialized areas like Cuda and C++ for performance-critical computations in machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment. The projects are diverse in technology but primarily focused on individual exploration.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ukairs25-causal-predictors

April 18, 2025 – May 13, 2025

ukairs25-causal-predictors — GitHub repository

View Project

jupyterlight

April 18, 2025 – April 18, 2025

jupyterlight — GitHub repository

View Project

ukairs25-feature-attributions

February 3, 2025 – May 6, 2025

ukairs25-feature-attributions — GitHub repository

View Project

webpage

March 14, 2024 – February 9, 2025

webpage — GitHub repository

View Project

learnable_strides

September 27, 2022 – May 31, 2024

learnable_strides — GitHub repository

View Project

Edge-Preserving-Blind-Color-Deconvolution

June 22, 2021 – June 29, 2021

Variational Bayesian Edge Preserving Blind Color Deconvolution of Histopathological Images

View Project

wasserstein-distance

April 7, 2021 – June 22, 2021

wasserstein-distance — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'wasserstein-distance', 'ukairs25-feature-attributions', and 'learnable_strides'.
Experience with Python, Jupyter Notebook, and R, which are core technologies for a Data Scientist role.
Exposure to specialized areas like Cuda and C++ for performance-critical computations in machine learning.

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.

Panagiotis (Panos) Dimitrakopoulos

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit