ChabaneNary-programming

Data Scientist

https://talent.gravityer.com/chabanenary-programming

Member since June 23, 2026

Key Strengths

Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebook, a common tool for data exploration and modeling.
Projects related to computer vision (YOLO) indicate interest in a relevant sub-field of Data Science.
Experience with Docker and Kubernetes suggests some understanding of deployment and MLOps concepts, which are valuable for a senior Data Scientist.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate initiative and a self-starter attitude. The diversity of technologies used (Python, JavaScript, HTML, CSS, Java, Docker, Kubernetes) indicates a willingness to learn and adapt. The focus on computer vision projects (YOLO) aligns with specific areas within Data Science. However, without information on collaborative projects or team roles, assessing team collaboration or broader cultural fit is limited.

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

asknarymane

April 9, 2026 – Present

asknarymane — repository

View Project

yoloGK-kubernetes-serving-api

April 6, 2026 – Present

yoloGK-kubernetes-serving-api — repository

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yoloGK-jetson-serving-api

March 25, 2026 – Present

yoloGK-jetson-serving-api — repository

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yoloGK-serving-api

March 23, 2026 – Present

yoloGK-serving-api — repository

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chabanenary

January 28, 2026 – Present

chabanenary — repository

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Yolo11_training_GK

January 28, 2026 – Present

yolo11 training tools for GalleryKeeper app

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GalleryKeeper-App

January 27, 2026 – Present

GalleryKeeper Android Application to automatically classify gallery photos

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GalleryKeeper-privacy-policy

January 20, 2026 – Present

GalleryKeeper app privacy policy

View Project

Key Strengths

Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebook, a common tool for data exploration and modeling.
Projects related to computer vision (YOLO) indicate interest in a relevant sub-field of Data Science.
Experience with Docker and Kubernetes suggests some understanding of deployment and MLOps concepts, which are valuable for a senior Data Scientist.

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.

ChabaneNary-programming

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit