José Pedro Silveira Martinez

Data Scientist

https://talent.gravityer.com/jose-pedro-silveira-martinez

Machine Learning Engineer passionate about building efficient and robust software systems Engineering Computer vision applications for 5+ years

Apollo-Solutions

Key Strengths

Demonstrated interest in Data Science through personal projects like 'simplest-rag', 'microsegmentation', and 'nba-rookies'.
Experience with Python, a core language for Data Science.
Exposure to various data-related tools and concepts such as RAG, image segmentation, and facial recognition.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse range of interests, from web development (Ruby, HTML, CSS, JavaScript) to data science and image processing (Python, Jupyter Notebook). This breadth suggests adaptability and a willingness to explore different technical domains. However, the current experience level is 0, and the single professional role is very recent, limiting the ability to assess long-term cultural alignment or collaborative experience. The projects are primarily personal, which may indicate self-driven learning but lack evidence of team collaboration in a professional setting.

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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Assessing your cultural and operational fit

Projects

simplest-rag

November 30, 2025 – November 30, 2025

Simple RAG with Spotify Annoy and Cohere

View Project

embryo-registration

October 29, 2025 – October 29, 2025

embryo-registration — GitHub repository

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microsegmentation

July 21, 2025 – September 2, 2025

Segmentation of biological microscopic images

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nba-rookies

November 29, 2023 – November 29, 2023

Facial recognition of NBA players

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gepia2_survival_scraper

November 5, 2023 – February 7, 2024

Scrapes survival data from GEPIA2 portal (http://gepia2.cancer-pku.cn/#survival) for a given list of genes using different cut-offs for each cancer dataset according to it's size.

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frapi-benchmark

March 16, 2021 – March 29, 2021

frapi-benchmark — GitHub repository

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cade-o-branquinho

May 28, 2019 – July 7, 2019

cade-o-branquinho — GitHub repository

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hockey-shooting-simulator

November 7, 2018 – December 4, 2018

tracking a hockey stick using a wiimote and IR sources

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management-duty

September 13, 2018 – November 8, 2018

Trabalho final da disciplina de Engenharia de Software N (INF01127) da Universidade Federal do Rio Grande do Sul.

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carol-fi

August 21, 2018 – December 9, 2018

Fork of UFRGS-CAROL/carol-fi

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects like 'simplest-rag', 'microsegmentation', and 'nba-rookies'.
Experience with Python, a core language for Data Science.
Exposure to various data-related tools and concepts such as RAG, image segmentation, and facial recognition.

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.

José Pedro Silveira Martinez

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit