Actuary - Data Science Master's Student
I’m an Actuary currently pursuing a Master’s degree in Data Science. I’m passionate about using data to drive decisions, build smart solutions, and improve real-world processes.
I combine strong analytical thinking with technical skills to explore data, extract insights, and create tools that deliver value. I’m eager to grow in the field of data and contribute to teams that embrace innovation and continuous learning.
A smart and friendly chatbot to check subject prerequisites at "Facultad de Ciencias Económicas - Universidad de Buenos Aires" 🎓🇦🇷
Select your degree and type any subject name — the bot instantly shows what you need to take it
No more manual checking or missed requirements ✅🧠
This project was developed for a local university in Argentina and is currently available in Spanish.
Logic & data handling: Python (pandas)
Frontend: Streamlit + custom CSS
A complete data project based on rental listings from Argenprop in C.A.B.A 📍
🕷️ Scraped over 3,000 property listings using Python (selenium)
🧠 Applied unsupervised learning (KMeans clustering) to group listings based on rental price and property features
📊 Power BI dashboard designed to explore rental trends through filters, KPIs, and segmented visualizations by location and property features
Scraping: Python (selenium)
Data processing: Pandas, Scikit-learn
Visualization: Power BI
This project detects atypical insurance claims using Isolation Forest, an unsupervised algorithm that scores anomalies based on behavioral patterns.
It features interactive filters (province, coverage, risk zone), applies UMAP for dimensionality reduction and HDBSCAN for clustering. SHAP values explain the key drivers behind each flagged claim.
Logic & modeling: Python (Pandas, Scikit-learn, Seaborn), Isolation Forest, HDBSCAN, UMAP
Visualization & explainability: Matplotlib, Streamlit, SHAP
Deployment: Streamlit cloud