Nuri Benbarka

Data Scientist

https://talent.gravityer.com/nuri-benbarka

cogsys-tuebingen

Key Strengths

Strong foundational knowledge in Deep Learning and Machine Learning, evidenced by multiple project repositories (EE569DeepLearningFall2024, multi_task_vision, Deep-learning-Assignment-1, EE569-CarRacing-Challenge-G-O-4).
Proficiency in Python, a core language for Data Science, demonstrated across numerous projects.
Experience with specialized ML frameworks and tools (e.g., Jupyter Notebook, potentially PyTorch/TensorFlow implied by deep learning projects).
Exposure to high-performance computing concepts (Cuda, C++) through the FourierNet project, which is valuable for optimizing ML models.
Practical experience with Reinforcement Learning (EE569-CarRacing-Challenge-G-O-4).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily focus on deep learning and computer vision, aligning well with a Data Scientist role that often involves these areas. The diversity of projects, including operating systems (C++) and high-performance computing (Cuda), suggests a broad technical curiosity. However, the lack of explicit team projects or contributions beyond personal repositories makes it difficult to assess collaborative cultural fit. The candidate's current role as 'Data Scientist' at 'cogsys-tuebingen' aligns directly with the target role, indicating a good professional fit.

Soft Skills & Operational Fit

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

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Projects

video-dubber

June 3, 2026 – Present

video-dubber — GitHub repository

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EE433-operating-systems

April 4, 2026 – Present

EE433 Operating Systems course code and examples - C programming labs for concurrency, synchronization, and kernel concepts

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deep-learning-research-kb

March 18, 2026 – Present

Hybrid KB for surveying literature across NLP, CV, RL, Multimodal, Efficient ML, Generative Models, and Audio

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EE569-CarRacing-Challenge-G-O-4

December 31, 2025 – Present

A Fork-like of Dr.Nuri's repo https://github.com/Nuri-benbarka/EE569-CarRacing-Challenge. this is a repo to train a RL Model on a gymnasium game

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cv-hyperparameter

December 20, 2025 – December 21, 2025

A Fork-like of the https://github.com/Nuri-benbarka/multi_task_vision of Dr.Nuri

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multi_task_vision

November 21, 2025 – November 21, 2025

multi_task_vision — GitHub repository

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Deep-learning-Assignment-1

November 24, 2024 – Present

Deep-learning-Assignment-1 — GitHub repository

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EE432F2425

October 31, 2024 – January 20, 2025

EE432F2425 — GitHub repository

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EE569DeepLearningFall2024

October 12, 2024 – January 19, 2025

EE569DeepLearningFall2024 — GitHub repository

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FourierNet

February 4, 2020 – June 22, 2022

FourierNet — GitHub repository

View Project

Key Strengths

Strong foundational knowledge in Deep Learning and Machine Learning, evidenced by multiple project repositories (EE569DeepLearningFall2024, multi_task_vision, Deep-learning-Assignment-1, EE569-CarRacing-Challenge-G-O-4).
Proficiency in Python, a core language for Data Science, demonstrated across numerous projects.
Experience with specialized ML frameworks and tools (e.g., Jupyter Notebook, potentially PyTorch/TensorFlow implied by deep learning projects).
Exposure to high-performance computing concepts (Cuda, C++) through the FourierNet project, which is valuable for optimizing ML models.
Practical experience with Reinforcement Learning (EE569-CarRacing-Challenge-G-O-4).

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 are available.

Nuri Benbarka

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit