Mohamed Elseglaby

Data Scientist

https://talent.gravityer.com/mohamed-elseglaby

Call Me Moshka

Quarter Academy

Key Strengths

Candidate has listed 'Data Scientist' as a current role at Quarter Academy, indicating aspiration and some exposure to the field.
Projects show exposure to Python and Jupyter Notebook, which are foundational for Data Science.
Demonstrated personal initiative through multiple GitHub projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on web development technologies (HTML, CSS, JavaScript, TypeScript), with only a few touching upon Data Science related tools (Jupyter Notebook, Python). While there's a stated role as 'Data Scientist', the project portfolio does not strongly align with a senior Data Scientist profile. The diversity of projects is present but not directly relevant to the target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

onl

July 5, 2025 – July 6, 2025

onl — GitHub repository

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Operation-Systems-Tasks

June 13, 2025 – June 13, 2025

Operation-Systems-Tasks — GitHub repository

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Quarter-Test

June 11, 2025 – June 11, 2025

Quarter-Test — GitHub repository

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testr

May 18, 2025 – May 18, 2025

testr — GitHub repository

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test-html

May 18, 2025 – May 18, 2025

test-html — GitHub repository

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ATC_01503933454

May 13, 2025 – May 20, 2025

ATC_01503933454 — GitHub repository

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test-standalone

April 24, 2025 – April 24, 2025

Draft

View Project

CV-Section

December 15, 2024 – December 15, 2024

CV-Section — GitHub repository

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FinalProject-Depi

October 18, 2024 – October 18, 2024

FinalProject-Depi — GitHub repository

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ecommerce

August 13, 2024 – August 19, 2024

ecommerce — GitHub repository

View Project

Key Strengths

Candidate has listed 'Data Scientist' as a current role at Quarter Academy, indicating aspiration and some exposure to the field.
Projects show exposure to Python and Jupyter Notebook, which are foundational for Data Science.
Demonstrated personal initiative through multiple GitHub projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

Mohamed Elseglaby

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit