Nuno Pedrosa

Conducting professional training in Advanced Data Analysis and Power BI, focusing on teaching analytics, visualisation, data driven decision making and data storytelling.

Applied Data Science and AI methods to optimize industrial processes and conduct the digital transformation ofthe refinery, as part ofthe Digital & Operational Excellence team.

Management and participation in strategic projects with cross-functionally stakeholders, ensuring coordination among all involved parties.

REFINERY ADVANCED SCHEDULING (OBJECT-ORIENTED PYTHON, SQL, REACT, DOCKER)

A refinery's digital twin that schedules all key activities, simulating 100+ weekly scenarios to optimize outcomes. Enhancing responsiveness, efficiency and decision-making, cutting planning time by 50% and reducing operating costs by up to 5%.

Implemented major features in an Agile/Scrum environment in collaboration with Boston Consulting Group (BCG). in partnership with Ritain.io

I wrote and presented an article based on this work to the CIARP 2023 conference (26th Iberoamerican Congress on Pattern Recognition). The paper can be found here.

MORTALITY PREDICTION IN ICU PATIENTS (PYTHON, SQL, SCIPY, SCIKIT-LEARN, PANDAS, NUMPY)

Developed interpretable logistic regression models to predict mortality in ICU patients withpneumonia, achieving 0.86 balanced accuracy to enable hospitals to optimize resource allocation while generating insights across heterogeneous patient groups.