EXPERIENCE
Data Scientist
Bosch
Developed a ML model to predict employee turnover using 5 years of historical HR data. Built the model in Python with scikit-learn and Keras, and used explainability methods to identify key factors.
Designed an optimised shuttle routing system for 45,000 employees in Stuttgart and Munich using Google OR-Tools. Integrated existing public transport for greater efficiency.
Developed web scraping tools to collect 10,000+ job postings and applied NLP techniques and deep neural networks to identify key skills and analyse role similarities.
Applied statistical and deep learning time series forecasting models to analyse crucial HR metrics such as headcount, average age, and exit ratio across 100+ Bosch locations globally.
Developed and managed multiple ETL pipelines using Airflow, Python, and SQL to process and anonymise HR data from multiple sources, reducing HR workload by 40 hours per month.
Feb. 2023 - Present
Remote
Machine Learning Engineer (Research Fellow)
CISUC
Developed a Machine Learning algorithm that predicts the course of Multiple Sclerosis in a specific time window using real-world clinical data.
Explored explainability methods (SHAP, LIME and PDPs) to analyse and clarify the underlying behaviour of the developed ML models.
Nov. 2020 - Oct. 2022
Coimbra, Portugal
Innovation Consultant and CEO
jeKnowledge (Junior Enterprise)
Started my path as an Innovation Consultant, working on several tech events. Progressed to the role of CEO, leading a cross-functional team with 55 students across 68 projects.
Increased internal and external growth and the quality of the work developed, with a 224.76% surge in business volume, a 70.83% increase in projects, and a 6.83% rise in client feedback.
Apr. 2019 - May 2022
Coimbra, Portugal
Algorithm Developer (Research Fellow)
CFisUC
Developed a Python algorithm designed to reconstruct 3D medical images from 2D projections of vascular networks. This algorithm autonomously computes crucial metrics from the generated 3D views, including the number of vessels, their diameter, and the number of bifurcations.