DATA PROCESSING & ANALYSIS
DATA PROCESSING & ANALYSIS
Embedded Files
Machine Learning
Machine Learning
Wine Quality Prediction
Wine Quality Prediction
Machine learning model to predict the quality of wine samples.
Objective: correctly predict the quality of Portuguese wine based on the physical and chemical characteristics of a sample.
Method: K-Nearest Neighbor classifier model.
Result: 80% accuracy in predicting high quality wines.
Role: School Project
Skills: Python, scikit-learn
Risk Analysis for Mortgage Arrears
Risk Analysis for Mortgage Arrears
Predicting risk for mortgage payment defaults.
Objective: detect tenants at most likely to default on their mortgage payments based on past payments.
Method: K-Nearest Neighbor, Random Forest, and Logistic Regression models.
Result: 77% accuracy for medium-risk defaults, and 58% accuracy for high-risk defaults.
Role: School Project
Skills: Python, scikit-learn
Geopolitical Risk
Geopolitical Risk
Political Risk and Microeconomic Development
Political Risk and Microeconomic Development
Measuring the microeconomic impact of political instability on tourism enterprise growth.
Objective: detect tenants most likely to default on their mortgage payments based on past payments.
Method: multivariate regression model.
Result: statistically significant results showing the Sub-Saharan tourism industry faced 2% slower growth than other industries in volatile political climates.
Role: School Paper
Skills: Stata
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