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Universidade NOVA de Lisboa
Data Scientist
June 26, 2026 – Present
zsh-dotfiles
June 15, 2026 – Present
A portable zsh dev environment for macOS — migrate your existing config, sync across machines, and let it heal itself daily.
View Projectyclib-extract
May 27, 2026 – Present
CLI pipeline to extract Y Combinator content (Paul Graham, YC Library, Startup School) into clean Markdown for Obsidian and your PKM tool.
View ProjectSwiss-banking-compliance
May 5, 2025 – May 5, 2025
Swiss-banking-compliance — GitHub repository
View Projectdiabetes-diagnosis
December 2, 2023 – December 2, 2023
diabetes-diagnosis — GitHub repository
View Projectsupply-chain-graph-demo
November 16, 2023 – November 16, 2023
supply-chain-graph-demo — GitHub repository
View Projectfraud-detection-mlops
June 23, 2023 – June 28, 2023
fraud-detection-mlops — GitHub repository
View Projectmlflow-starterkit
May 3, 2023 – June 17, 2023
MLFLow Server - Jupyter Notebook Dockerized StarterKit
View Projectnqueens-optimization
April 24, 2023 – May 28, 2023
Optimizing the NQueen Puzzle using different optimization techniques including backtracking, local search, and genetic algorithm (GA) for evolving towards a state where no two queens are attacking each other.
View Projectbrain-tumor-mri-classifier
April 3, 2023 – April 18, 2023
Developing a CNN-based brain tumor classification system using MRI for improved diagnostics
View Projectinsurance-customers-segmentation
December 27, 2022 – January 20, 2023
Customer segmentation and targeted marketing using clustering and unsupervised learning techniques for auto insurance industry. Course project `Data Mining DM-200175` at Nova IMS.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, demonstrating a strong interest in data science and machine learning. The 'Data Scientist' role at a university aligns with their current experience and project focus. However, the lack of diverse professional experience outside of a university setting and the absence of team-based projects make it difficult to fully assess cultural fit within a corporate or larger team environment. The experience level is listed as 0, which suggests this might be an entry-level or very early career candidate, potentially impacting fit for senior roles requiring extensive collaboration and leadership.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, capable of independent learning and project execution. The diversity of projects indicates an ability to tackle different problem domains. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.