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Software Engineer, passionate about technology and its applications in people's daily lives.
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Laviola Desenvolvimento e Consultoria
Data Scientist
June 29, 2026 – Present
MalDataGen
May 28, 2025 – December 26, 2025
MalDataGen is an advanced Python framework for generating and evaluating synthetic tabular datasets using modern generative models, including diffusion and adversarial architectures.
View Projectrelease-please-test
January 30, 2025 – February 7, 2025
release-please-test — GitHub repository
View Projectautodroid-unipampa-si-lesson
December 3, 2024 – December 3, 2024
autodroid-unipampa-si-lesson — GitHub repository
View Projectapp-template-2024-vite-react
January 17, 2024 – March 18, 2025
app-template-2024-vite-react — GitHub repository
View Projectautodroid
September 11, 2023 – June 20, 2024
Repositório do monorepo para a aplicação AutoDroid.
View Projectget-package-info
March 3, 2023 – December 18, 2024
Get package.json name and version Github action
View Projectparse-plain-dotenv
March 1, 2023 – March 3, 2023
Plain dotenv string parser into Github action
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a breadth of technologies (TypeScript, JavaScript, Shell, HTML, CSS, Gnuplot, Dockerfile) beyond core data science. The 'MalDataGen' project aligns well with a Data Scientist role, showcasing generative models. However, the overall project diversity leans heavily towards general software development and scripting rather than deep data science applications, which might indicate a broader interest or a need to focus more on data science specific projects. The target role is Data Scientist, and while there's a current role listed, the future start date makes it difficult to assess current practical experience. The lack of detailed project descriptions beyond a single sentence limits the ability to fully evaluate the depth of engagement and problem-solving within a data science context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.