Rafael La Buonora

Data Scientist

https://talent.gravityer.com/rafael-la-buonora

Member since June 22, 2026

Key Strengths

Exposure to various programming languages including Assembly, JavaScript, Python, R, and Shell.
Demonstrated interest in personal projects, indicating self-driven learning.
Experience with data-related technologies like R and PL/pgSQL, which are relevant to Data Science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a broad interest in various technologies and problem domains, from low-level computing (nand2tetris) to web development and data analysis (comap, ursec). This diversity suggests adaptability and a curious mindset. The target role of 'Data Scientist' aligns with projects involving R and PL/pgSQL, indicating some foundational relevance. However, the majority of projects lean towards front-end web development, which might not directly align with a pure Data Scientist role without further context.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

assignments

June 15, 2026 – Present

assignments — GitHub repository

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diapos_ia

March 24, 2026 – Present

diapos_ia — GitHub repository

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rlabuonora

March 18, 2026 – Present

rlabuonora — GitHub repository

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learn

March 16, 2026 – Present

learn — GitHub repository

View Project

geo_game

March 2, 2026 – Present

geo_game — GitHub repository

View Project

brain_gym

February 27, 2026 – Present

brain_gym — GitHub repository

View Project

ursec

January 22, 2026 – Present

ursec — GitHub repository

View Project

simulador-comap

January 12, 2026 – Present

simulador-comap — GitHub repository

View Project

comap

November 17, 2025 – Present

comap — GitHub repository

View Project

nand2tetris

January 17, 2017 – March 2, 2017

Code for the nand2tetris projects

View Project

Key Strengths

Exposure to various programming languages including Assembly, JavaScript, Python, R, and Shell.
Demonstrated interest in personal projects, indicating self-driven learning.
Experience with data-related technologies like R and PL/pgSQL, which are relevant to Data Science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Rafael La Buonora

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit