Rodrigo Aparicio

Data Scientist

https://talent.gravityer.com/rodrigo-aparicio

Member since June 23, 2026

Key Strengths

Experience with Python and Jupyter Notebook, which are foundational for Data Science.
Exposure to various programming languages (JavaScript, TypeScript) indicates adaptability.
Personal projects demonstrate initiative and self-learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a breadth of interest in web development (React, Node.js) and some exposure to data-related tools (Jupyter Notebook, Python). This diversity suggests a willingness to explore different technical areas. However, the projects are primarily personal and lack detailed descriptions, making it difficult to fully assess alignment with a collaborative, senior-level Data Scientist role. The target role is 'Data Scientist', and while Python and Jupyter Notebook are relevant, the majority of projects are focused on web development, indicating a potential mismatch in primary focus.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The 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

react-calendar

August 5, 2022 – August 10, 2022

react-calendar — repository

View Project

node-exercises

June 18, 2022 – June 20, 2022

node-exercises — repository

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leaderboard-react

March 11, 2021 – March 11, 2021

leaderboard-react — repository

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leaderboard-node

March 10, 2021 – March 11, 2021

leaderboard-node — repository

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geocoding-react

July 10, 2020 – July 15, 2023

geocoding-react — repository

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geocoding-node

July 8, 2020 – January 24, 2023

geocoding-node — repository

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simulacion

May 9, 2020 – July 1, 2020

simulacion — repository

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exchange-rates-api-node

April 30, 2020 – January 24, 2023

exchange-rates-api-node — repository

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card-game-graphql

April 11, 2020 – December 12, 2022

card-game-graphql — repository

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documentacion

March 17, 2019 – July 23, 2019

Documentacion

View Project

Key Strengths

Experience with Python and Jupyter Notebook, which are foundational for Data Science.
Exposure to various programming languages (JavaScript, TypeScript) indicates adaptability.
Personal projects demonstrate initiative and self-learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Rodrigo Aparicio

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit