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Jonathan Arancibia | Gravity Talent Portal

Jonathan Arancibia

Jonathan Arancibia

Data Scientist

https://talent.gravityer.com/jonathan-arancibia

Member since June 24, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/jonathan-arancibia

Top Skills

Jupyter NotebookPythonRuby

Skills

Jupyter NotebookPythonRuby

Projects

calculus-derivation-gradient-descent-data-science-intro-000

April 19, 2018 – September 16, 2019

calculus-derivation-gradient-descent-data-science-intro-000 — GitHub repository

python-dictionaries-readme-data-science-intro-000

April 16, 2018 – October 1, 2020

python-dictionaries-readme-data-science-intro-000 — GitHub repository

for-loops-readme-data-science-intro-000

April 16, 2018 – January 8, 2021

for-loops-readme-data-science-intro-000 — GitHub repository

excel-to-python-data-science-intro-000

April 16, 2018 – June 15, 2022

excel-to-python-data-science-intro-000 — GitHub repository

py-lists-with-maps-data-science-intro-000

April 10, 2018 – August 3, 2021

py-lists-with-maps-data-science-intro-000 — GitHub repository

jupyter-notebook-introduction-data-science-intro-000

April 10, 2018 – May 3, 2022

jupyter-notebook-introduction-data-science-intro-000 — GitHub repository

python-variables-readme-data-science-intro-000

April 10, 2018 – June 20, 2019

python-variables-readme-data-science-intro-000 — GitHub repository

python-practice-with-datatypes-data-science-intro-000

April 10, 2018 – October 13, 2021

python-practice-with-datatypes-data-science-intro-000 — GitHub repository

python-lists-readme-data-science-intro-000

April 10, 2018 – April 8, 2021

python-lists-readme-data-science-intro-000 — GitHub repository

your-first-lab-cb-gh-000

December 13, 2016 – May 20, 2021

your-first-lab-cb-gh-000 — GitHub repository

Key Strengths

Demonstrated interest in Data Science fundamentals through personal projects.
Familiarity with Jupyter Notebook for data exploration and analysis.
Basic understanding of Python for data manipulation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily introductory personal repositories focused on basic Python and Jupyter Notebook concepts, indicating an early stage in their data science journey. The projects show an interest in learning foundational data science topics, which aligns with a growth mindset. However, the lack of diverse project types or collaborative efforts makes it difficult to fully assess cultural fit beyond a basic alignment with learning and development.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or detailed experience descriptions are available.