Muhammad Arslan

Data Scientist

https://talent.gravityer.com/muhammad-arslan-1

Full Stack Developer

Member since June 21, 2026

Key Strengths

Demonstrated interest in AI/ML and Data Science through personal projects like 'Deep-Learning', 'NLP-Engineering', and 'AI-project-02'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to full-stack development (TypeScript, JavaScript, CSS, HTML) indicates a broader technical understanding, though not directly aligned with Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a mix of web development and AI/ML, indicating diverse interests. While the AI/ML projects align with a Data Scientist role, the significant number of web development projects suggests a broader focus. The lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative environment.

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

BarberzLink2

May 6, 2026 – Present

BarberzLink2 — repository

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BarberzLink

May 4, 2026 – Present

BarberzLink — repository

View Project

Voice_Agent

April 13, 2026 – Present

Voice_Agent — repository

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Voice-Agent-vapi

April 8, 2026 – Present

Voice-Agent-vapi — repository

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Deep-Learning

April 1, 2026 – Present

Deep-Learning — repository

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Database-to-DataFrame

March 30, 2026 – Present

Database-to-DataFrame — repository

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Research_Agent_Pro-HITL-Powered_AI-4

March 30, 2026 – Present

Research_Agent_Pro-HITL-Powered_AI-4 — repository

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NLP-Engineering

March 27, 2026 – Present

NLP-Engineering — repository

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Jupyter_Notebook_to_PDF_AI_gent

March 18, 2026 – Present

Jupyter_Notebook_to_PDF_AI_gent — repository

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AI-project-02

March 17, 2026 – Present

AI-project-02 — repository

View Project

Key Strengths

Demonstrated interest in AI/ML and Data Science through personal projects like 'Deep-Learning', 'NLP-Engineering', and 'AI-project-02'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to full-stack development (TypeScript, JavaScript, CSS, HTML) indicates a broader technical understanding, though not directly aligned with Data Scientist role.

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.

Muhammad Arslan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit