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farnoodlotfali | Gravity Talent Portal

farnoodlotfali

farnoodlotfali

Data Scientist

https://talent.gravityer.com/farnoodlotfali

React Developer

Tehran, Tehran Province, Iran

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Member since June 29, 2026

https://talent.gravityer.com/farnoodlotfali

Top Skills

typescriptCSSJavaScriptJupyter NotebookPythonHTMLSCSS

Skills

typescriptCSSJavaScriptJupyter NotebookPythonHTMLSCSS

Projects

disciplined

June 18, 2026 – Present

disciplined — GitHub repository

vite-pwa-update-overlay

June 9, 2026 – Present

Custom PWA update modal for React + Vite apps using vite-plugin-pwa.

hooman_visuals

December 30, 2025 – Present

hooman_visuals — GitHub repository

berlin-gallery

October 2, 2025 – December 13, 2025

berlin-gallery — GitHub repository

zimapay-test

July 30, 2025 – July 30, 2025

zimapay-test — GitHub repository

cryptocurrency-telegram

September 17, 2024 – February 16, 2025

cryptocurrency-telegram — GitHub repository

ticket-stand

August 2, 2023 – March 7, 2024

ticket-stand — GitHub repository

testing-todo-app

September 25, 2022 – September 25, 2022

using testing-library/react and jest to test code

movies-tmdb

August 2, 2022 – August 2, 2022

movies-tmdb — GitHub repository

laial-app

December 31, 2020 – August 21, 2021

laial-app — GitHub repository

Key Strengths

Demonstrated personal initiative through multiple GitHub projects.
Experience with front-end technologies (TypeScript, JavaScript, CSS, HTML).
Exposure to Python and Jupyter Notebook, which are relevant for data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily front-end web development focused, with one project (cryptocurrency-telegram) showing exposure to Python and Jupyter Notebook. This indicates some interest in data-related tools, but the overall project portfolio does not strongly align with a senior Data Scientist role. The diversity of projects is good, but the depth in data science specific areas is lacking.

Soft Skills & Operational Fit

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