My professional interests are in the field of data science. As a PhD candidate in Computer Science and Engineering at the University of Notre Dame, I developed skills in data analytics and machine learning, with applications focused on highly skewed and imbalanced datasets. This includes building models to solve complex longitudinal problems in the areas of fraud detection, ecoinformatics, risk assessment, and business intelligence.
Specialties: Machine Learning, Data Mining, Learning from Highly Imbalanced Datasets, Fraud Detection, Model Evaluation, Data Visualization, and programming in Python, Java, C/C++, and R.
My professional interests are in the field of data science. As a PhD candidate in Computer Science and Engineering at the University of Notre Dame, I developed skills in data analytics and machine learning, with applications focused on highly skewed and imbalanced datasets. This includes building models to solve complex longitudinal problems in the areas of fraud detection, ecoinformatics, risk assessment, and business intelligence.
Specialties: Machine Learning, Data Mining, Learning from Highly Imbalanced Datasets, Fraud Detection, Model Evaluation, Data Visualization, and programming in Python, Java, C/C++, and R.
