Gustavo Garcia Pereira

Data Scientist

https://www.opentalent.in/gustavo-garcia-pereira

Programador, cientista da computação. Apaixonado por livros.

Member since June 22, 2026

Key Strengths

Demonstrated proficiency in Python across multiple projects, which is central to a Data Scientist role.
Experience with data analysis tools like Jupyter Notebook.
Exposure to machine learning concepts through the 'projeto_carros_api' (FastAPI and Scikit-learn).
Familiarity with MLOps concepts (Docker, FastAPI for API deployment) as seen in 'rag-seguros' and 'projeto_carros_api'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in learning and applying various technologies, including Python, web development (HTML, CSS, JavaScript), and some C++/Java. This indicates a self-starter attitude. The diversity of projects, from cell counting to RAG APIs and car price prediction, suggests adaptability and a broad technical curiosity. However, the lack of team-based or professional projects makes it difficult to assess collaboration or alignment with specific organizational cultures.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

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Projects

rag-seguros

March 8, 2026 – Present

RAG API para auditoria técnica de manuais de seguros — FastAPI + FAISS + DeepSeek + SSE Streaming

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projeto_carros_api

June 11, 2025 – June 11, 2025

Projeto de estudo para criar uma API de previsão de preços de carros com FastAPI e Scikit-learn. O objetivo é praticar o fluxo completo de deploy de um modelo de Regressão Linear.

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otimizacao2025

March 17, 2025 – June 23, 2025

otimizacao2025 — repository

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SIESTA_Platform

December 18, 2024 – Present

Aplicação web para criar de arquivo FDF apartir do arquivo XYZ (SIESTA), com visualizador 3D e download de pseudopotenciais.

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curso_python

October 9, 2024 – March 11, 2025

Repositório dedicado a colocar os materiais dados em aula

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aulas_programacao_estatistica

September 5, 2023 – November 29, 2023

aulas_programacao_estatistica — repository

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bot_noticias

July 26, 2023 – November 15, 2025

A Telegram bot implemented with the FastAPI web framework to provide news information, with the ability to respond to specific commands and make requests to a FastAPI API to retrieve news.

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Sample-analisys

March 8, 2021 – March 3, 2021

:microscope: Cell counting using Python to identify, through images, the approximate amount of cells present in a sample :petri_dish:

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computacao-grafica

August 2, 2019 – September 17, 2019

Disciplina de computação gráfica

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modelo-PySm-Formsets

May 29, 2019 – June 10, 2021

apresentação

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Key Strengths

Demonstrated proficiency in Python across multiple projects, which is central to a Data Scientist role.
Experience with data analysis tools like Jupyter Notebook.
Exposure to machine learning concepts through the 'projeto_carros_api' (FastAPI and Scikit-learn).
Familiarity with MLOps concepts (Docker, FastAPI for API deployment) as seen in 'rag-seguros' and 'projeto_carros_api'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

Gustavo Garcia Pereira

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit