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Farzin Sharif | Gravity Talent Portal

Farzin Sharif

Farzin Sharif

Data Scientist

https://talent.gravityer.com/farzin-sharif

You don't choose your linux, Your linux choose you

moshiran kariz

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Tehran iranMember since June 29, 2026

https://talent.gravityer.com/farzin-sharif

Top Skills

ShellPythonDockerfileHTMLCSSC++Jupyter Notebook

Skills

ShellPythonDockerfileHTMLCSSC++Jupyter Notebook

Experience

moshiran kariz

Data Scientist

June 29, 2026 – Present

Projects

HP_DNN

March 27, 2025 – August 9, 2025

HP_DNN — GitHub repository

cloud-computing-2025

February 25, 2025 – July 27, 2025

Cloud Computing Course Homeworks

US-News-Crawler-Selenium

June 20, 2023 – June 20, 2023

US-News-Crawler-Selenium — GitHub repository

fedoratest

May 28, 2023 – July 15, 2023

fedoratest — GitHub repository

computer-architecture-slide

May 22, 2023 – July 18, 2023

computer-architecture-slide — GitHub repository

Automat-Irrigation

May 22, 2023 – July 11, 2024

Automat-Irrigation — GitHub repository

University-Ranking-webscraping

May 22, 2023 – June 22, 2023

Find Universities available in country according to their rank

farzinsharif

May 22, 2023 – February 11, 2025

farzinsharif — GitHub repository

ponisha-position-finder

May 22, 2023 – May 22, 2023

Find open position on ponisha (Freelancering job offer website)

Key Strengths

Experience in Python for data-related tasks (web scraping, data processing).
Exposure to cloud computing concepts through coursework.
Demonstrated interest in data science through personal projects like 'HP_DNN'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, showing initiative and self-learning. The 'Data Scientist' role at 'moshiran kariz' aligns with the target role, indicating a clear career path. However, the breadth of technologies outside of Python for data science is limited, and project descriptions are brief, making it hard to fully gauge collaboration or broader impact.

Soft Skills & Operational Fit

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