💡 Passionate about data, people, and strategy.
📊 Officia
79F4
lly 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 seriesPySpark
&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