Rafael Dias Gonçalves

Data Scientist

https://talent.gravityer.com/rafael-dias-goncalves

iOS Developer | Swift | Apple Developer Academy Alumni

Manaus, Amazonas

Key Strengths

Demonstrated interest in data science through 'PID-TP2-SceneCutDetector' project using Jupyter Notebook and Python.
Experience with Python, a core language for Data Science.
Exposure to different programming paradigms (Prolog for AI).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history shows a strong focus on Swift/iOS development, with a few projects in Python and Prolog. While there's an interest in Data Science (evidenced by one project), the overall portfolio diversity is skewed towards mobile development, which may not align perfectly with a pure Data Scientist role without further evidence of data-specific work. The breadth of skills is limited to a few languages.

Soft Skills & Operational Fit

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

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Projects

insulationProject

April 4, 2026 – Present

insulationProject — GitHub repository

View Project

Garotas-Espertas-plataformas-Apple

November 13, 2025 – December 18, 2025

Garotas-Espertas-plataformas-Apple — GitHub repository

View Project

PID-TP2-SceneCutDetector

November 10, 2025 – November 24, 2025

PID-TP2-SceneCutDetector — GitHub repository

View Project

SegundoTrabalhoDeIA

July 13, 2024 – July 13, 2024

SegundoTrabalhoDeIA — GitHub repository

View Project

bridge-21-23

September 21, 2021 – September 23, 2021

bridge-21-23 — GitHub repository

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mapKitTest

June 15, 2021 – June 15, 2021

mapKitTest — GitHub repository

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WWDC21

April 8, 2021 – April 8, 2021

Projeto da wwdc21

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ChatAppCloudKit

November 24, 2020 – December 14, 2020

ChatAppCloudKit — GitHub repository

View Project

festas_app

September 22, 2020 – January 29, 2021

Festeje! App

View Project

bestPlayers

July 6, 2020 – July 6, 2020

bestPlayers — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science through 'PID-TP2-SceneCutDetector' project using Jupyter Notebook and Python.
Experience with Python, a core language for Data Science.
Exposure to different programming paradigms (Prolog for AI).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Rafael Dias Gonçalves

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit