Data Scientist with production experience applying supervised ML, NLP, and anomaly detection on 15M+ records across clinical healthcare and workforce analytics. Drove 25–35% efficiency gains through predictive modeling and BI dashboards adopted by clinical directors and operational stakeholders.
YOLOv5 + CNN ensemble with automated data reconciliation system and hardware-integrated prototype for real-world deterrent responses in precision agriculture.
End-to-end forecasting pipeline with real-time Bitcoin data collection, ARIMA and XGBoost models, automated ETL workflows, and interactive Qlik Sense dashboards.
Python and SQL analytics pipeline for a multifamily portfolio, quantifying loss-to-lease exposure and occupancy gaps across a relational schema of properties, units, and rent rolls. Automated Excel and Power BI reporting for portfolio stakeholders.
Open to full-time roles, internships, and research collaborations in data science, ML engineering, and analytics.