About Me
As a recent Informatics Engineering graduate, I have a strong foundation in programming and logical problem-solving.
My passion for data is backed by proven, hands-on experience in Python and SQL, demonstrated through many projects. My expertise is validated by the Data Scientist Professional and Data Analyst Professional certifications from DataCamp.
I enjoy turning raw data into meaningful stories that support decision-making, and I'm always eager to learn more. My portfolio showcases my ability to solve business problems and deliver data-driven solutions.
I'm actively seeking an internship or a junior role where I can grow as a Data Analyst or a Data Scientist.
Education
Bachelor Degree in Informatic Engineering at ESTG-IPVC (Instituto Politécnico de Viana do Castelo)
Certifications
Soft Skills
- Critical Thinking / Problem Solving
- Analytical Mindset / Data-Driven Thinking
- Attention to Detail
- Curiosity & Eagerness to Learn / Learning Agility
- Ability to Present Results / Insights
- Persistence / Self-Discipline
Hard Skills
- Programming & Libraries: Python (Data Analytics & ML), SQL, Pandas, NumPy
- Data Analysis & Modeling: EDA, Data Cleaning / Preprocessing, Feature Engineering & Data Encoding
- Machine Learning: Supervised ML, Model Evaluation & Validation (classification metrics, cross-validation)
- Deployment & CI/CD: Cloud Deployment (AWS), Web/App Deployment (Render), CI/CD (GitHub Actions), Automated Testing (pytest)
- Visualization & Insights: Data Visualization (matplotlib, seaborn), Statistical Reasoning / Data Insight Extraction, Translating Data into Business Recommendations
- Version Control: Git
Main Project
Telco Customer Churn Analysis
Analysis of customer churn using Python, Pandas, and scikit-learn.
Other Projects
Startegic HR Analytics on Employee Data
SQL project that delivers an in-depth diagnostic analysis of historical employee data to provide actionable intelligence on workforce stability, compensation equity, and diversity.
S&P 500 Stocks Python Analysis
Analysis of the distribution of S&P 500 companies across U.S. states and analyze the concentration of dominant sectors within those regions.
Social Networks
