Tânia User

Highly skilled Data Scientist and ICT Risk Specialist advising Joint-Supervisory Teams on risk evaluation and mitigation. Develops ML-driven risk assessment tools and produces dashboards for non-financial risk analysis, ensuring compliance with regulatory requirements.

Produced internal reports by analyzing market data using SQL and improved control processes through Python tools. Trained colleagues during task transfers to a new branch, providing guidance and mentorship.

Coordinated research on economic topics and led the production of an Energy Industry Strategic Report, providing insights for policy formulation.

Graduated within top 5% of the cohort. Thesis: Machine Learning for E-Government developed a fine-grained Random Forest classifier to prevent child abuse. Leveraging my expertise in predictive analytics and statistical methods, I used a combination of advanced techniques such as hyperparameter tuning and cross-validation to optimize accuracy and robustness.

Activities and societies: Vice-President and Head of Research of the Iscte Trading and Investment Club

Graduated with Distinction and Admission Award - average higher than 18/20. Main courses: Investment Project, Advanced Statistics, Management Accounting, Macroeconomics, Taxation. As a Vice-President and Head of Research of the Iscte Trading and Investment Club, I managed an international team of 25 financial analysts, performed equity valuations and financial newsletters, and produced macroeconom