💡 Passionate about data, people, and strategy.
📊 Officially transitioning into Data Science, combining a strong background in analytics, marketing, and tech.
🎓 MSc student in Data Science and Artificial Intelligence (with focus on time series and concept drift).
📍 Solid experience with real-world data, insight generation, and performance optimization.
🔎 Curious by nature — I love uncovering patterns, asking the right questions, and building data-driven solutions.

• Python | SQL | Git | VS Code | Power BI

• Pandas | NumPy | Scikit-learn | Statsmodels | Matplotlib | Seaborn | Plotly

• Classification | Regression | Clustering | Time Series | Drift Detection | Feature Engineering

• PostgreSQL | Redshift

• R for time series
• PySpark & Databricks
• AWS for data processing and storage

• ⚽ Predictive analysis of in-game football events
• 🧪 Academic research on Concept Drift
• 🎵 Optimization of campaign performance and user behavior in streaming platforms
• 🧰 Automation of data analysis using Python