Built with real data.
Designed for real decisions.
Each project solves a real business problem — from retail analytics to HR retention to financial forecasting.
Live Applications
LATAM Economic Dashboard ->
End-to-end ETL pipeline: World Bank API → SQLite → ML forecasting for 6 LATAM countries. 7 economic indicators with 5-year predictions using Linear Regression, Exponential Smoothing, and Random Forest.
Stock Price Predictor ->
ML-powered stock analysis: 20+ technical indicators (RSI, MACD, Bollinger), Random Forest & Gradient Boosting classifiers, backtesting engine with Sharpe ratio. Real data from Yahoo Finance.
Retail Price Tracker ->
Competitive pricing intelligence for LATAM retail. Full ETL pipeline, 4-method anomaly detection ensemble (Z-Score, IQR, Isolation Forest), price gap heatmaps, and auto-generated market insights for 20 products across 5 retailers.
Data Science Fundamentals
Market Basket Analysis ->
Association rule mining on 38K+ supermarket transactions. Apriori & FP-Growth algorithms revealing which products drive cross-purchases.
Employee Attrition Predictor ->
XGBoost model achieving 0.99 AUC-ROC on 15K employee records. SHAP explanations make every prediction transparent for HR teams.
Customer Segmentation ->
K-Means & DBSCAN clustering with silhouette optimization. Commercial strategy recommendations per segment based on purchase behavior.
Stock Price Forecasting ->
Comparing ARIMA, Prophet, and LSTM on Amazon stock data. Full time series decomposition, stationarity testing, and model benchmarking.