
Awfully Curious about the World. PhD Student, AI Researcher Wannabe, Biochemist, Economist. Dad, Dog Owner, Workaholic, Gamer and Politics Aficionado
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NOVA IMS
Data Scientist
June 29, 2026 – Present
claudius
June 15, 2026 – Present
A governed multi-agent delivery framework for Claude Code: reusable agents, MAS workflow skills, policies, templates, and a Python CLI for project lifecycle, handoffs, shared state, and evaluation.
View Projecttimely_accurate_portable
April 27, 2026 – Present
This repository is used to store the code and data used throughout the work.
View ProjectML_Project_Group42
October 8, 2025 – Present
Machine Learning Project - Group 42 “Cars 4 You: Predicting car prices using regression models.” Nova IMS | MSc in Data Science | 2025/2026
View ProjectMachine-Learning-Project-2024-2025
December 23, 2024 – December 23, 2024
Deciding on new compensation benefits
View ProjectMachine-Learn-Project-Group11
December 18, 2024 – December 22, 2024
Machine Learning Project
View ProjectMachineLearning_Project
December 17, 2024 – March 22, 2025
MachineLearning_Project — GitHub repository
View ProjectML_PredictingWorkersCompensationClaimSeverity_MasterProject
October 3, 2024 – October 22, 2025
🤖 Machine Learning project to predict the severity of workers' compensation claims using CatBoost & Random Forest. Deployed as an interactive Streamlit app with LIME for interpretability. Developed for the ML course at NOVA IMS.
View ProjectDeep_Learning_Project
March 21, 2021 – April 4, 2021
Repository of the image data and code used to get an sperm cell classifiuer based on data from UChile. OWork by: Daniel Correia, Joana Rafael and Ricardo Santos
View ProjectProj-DM
November 18, 2020 – February 16, 2021
Data Mining Curricular Unit of MDSAA at Nova IMS
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on academic machine learning and data mining tasks, indicating a strong interest in the technical aspects of data science. However, the lack of diverse project types or team-based professional experience makes it difficult to fully assess cultural fit beyond a technical alignment. The candidate's experience level is listed as 0, and their only listed 'experience' is a current role as 'Data Scientist' at NOVA IMS starting in 2026, which appears to be a future or academic role, not professional work experience. This suggests a profile more aligned with an entry-level or junior researcher rather than a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily academic/personal, offering limited insight into collaborative work or problem-solving in a professional setting.