Passionate about transforming complex data into actionable insights. With a background in Agronomy and a Master's degree, I bridge the gap between technical data analysis and real-world business (and environmental) impact.
- 📊 Current Focus: Data Science, Power BI Dashboards, and SQL.
- 🧪 Tech Stack: Python (Pandas, Scikit-learn), SQL, Power BI (DAX), Excel/Power Query.
- 🛠️ Experience: Data cleaning, ETL, Clustering (RFM), and Predictive Modeling.
- 🇵🇹 Based in: Porto, Portugal.
- Problem: Identifying customer behavior and seasonal purchase cycles in a real retail dataset.
- Tools: Python (Pandas, Scikit-learn), K-Means, PCA, RapidFuzz.
- Outcome: Segmented customers into 5 strategic personas (VIP, Occasional, etc.) and identified key sales peaks like Valentine's Day.
- Goal: End-to-end Power BI report with Star Schema modeling and ABC/RFM analysis.
- Tools: Power BI (DAX), Power Query, Data Modeling.
- Outcome: Strategic insights for logistics (delivery times) and inventory optimization (ABC Curve).
- Goal: Relational modeling for sports management and advanced T-SQL querying.
- Highlights: Complex Joins and Nested Subqueries for business intelligence.
- Goal: Simulating a clinic management system using Object-Oriented Programming (OOP).
- Tools: Python (Classes, Methods, File I/O).
- Outcome: Appointment scheduling with time-conflict validation and daily reporting.
- Goal: Functional CLI banking application with Admin and Client interfaces.
- Tools: Python Logic, Data Validation, Statistics.
- Outcome: Secure transaction processing and automated financial reporting.
📫 Connect with me: LinkedIn