Programming & SQL
Python, R, SQL, PostgreSQL, MySQL, T-SQL
DATA • ANALYTICS • INTELLIGENCE
Turning complex data into clear insights, predictive intelligence, and practical business solutions.
01 / PROFILE
I am a Data Analyst with a Postgraduate in Enterprise Data Science & Analytics from NOVA IMS – Universidade Nova de Lisboa and a strong foundation in Electrical & Electronics Engineering. I am passionate about transforming complex data into meaningful insights that drive strategic decision-making and business growth.
My expertise includes Python, SQL, R, Power BI, Machine Learning, Data Visualization, Statistical Analysis, ETL, and Data Modeling. I have built analytical dashboards, predictive models, and end-to-end data solutions using modern tools and technologies, including AWS, Databricks, Git, Jupyter Notebook, and Hugging Face.
Beyond my technical expertise, I bring experience in customer operations and hospitality, where I developed strong communication, collaboration, leadership, and problem-solving skills. Working in dynamic, fast-paced environments has strengthened my ability to work effectively with diverse teams while maintaining a strong focus on delivering exceptional results.
I am continuously expanding my expertise in SAP Analytics Cloud (SAC), Data Engineering, and Cloud Analytics, and I am seeking opportunities where I can help organizations unlock the full value of their data through innovation, analytical excellence, and measurable business impact.
02 / TOOLKIT
Python, R, SQL, PostgreSQL, MySQL, T-SQL
Power BI, Excel, Plotly, Tableau, Looker Studio
Regression, classification, clustering, preprocessing & feature engineering
ETL pipelines, DuckDB, SQL Server, star/galaxy schemas & query optimization
AWS fundamentals, Databricks, Apache Spark & Hadoop ecosystem
Building capability in SAP Analytics Cloud for enterprise reporting and cloud analytics.
03 / EXPERIENCE
04 / SELECTED WORK
End-to-end binary classification workflow for predicting donor response, combining data preprocessing, EDA, feature engineering, model comparison, validation and hyperparameter optimization for targeted fundraising.
Deep learning binary classification solution using the AI4I 2020 dataset to detect rare machine-failure events from industrial operational sensor data.
Unsupervised learning project that discovers meaningful donor profiles from demographic, socioeconomic and historical donation behavior to support targeted fundraising.
Automated analysis of Portuguese government contracts from 2018–2025, identifying spending trends and policy-period impacts.
Large-scale analytical workflow processing 25M+ movie ratings with optimized SQL and performance-focused data analysis.
Power BI solution using a Galaxy Schema to integrate energy and weather data for trends, Pareto analysis, forecasting and planning.
SQL Server solution with an automated auction module, inventory optimization and market analysis to support expansion decisions.
05 / EDUCATION
Postgraduate Program in Enterprise Data Science & Analytics
MSc Electronics / Telecommunications · 28.5 ECTS completed
BSc Electrical & Electronic Engineering
06 / LET'S CONNECT
I am interested in Data Analyst, Business Intelligence Analyst, Data Engineer, and Data Scientist opportunities where I can create measurable value from data.