Data Science Projects
Anomaly Detection for Wearable Device Activity logs
Focused on semi-supervised anomaly detection, developing a validation framework for unlabeled data to ensure reliable alerts, while optimizing a risk-scoring model for interpretability and alignment with domain intuition.
Time Series Anlaysis
Semi-supervised anomaly detection
Interpretability / alignment with domain intuition
ASU - Displaced Voice
Developed predictive models to analyze eviction trends in Maricopa County, Arizona.
Cluster Analysis
Linear Regression
Kaggle Competition - Sticker sales prediction
Developed a time series predictive model to analyze sticker sales across different countries and sticker types.
Time Series Analysis
Feature Engineering