Building scalable ML systems on 15M+ records — from anomaly detection pipelines to real-time forecasting models. Proven track record of 35% false positive reduction, 25% efficiency gains, and data-driven decision making.
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.
End-to-end analytics pipeline for real estate portfolio management featuring automated Python ETL, SQLite database, Power BI dashboards, and comprehensive reporting system for multifamily properties.
Open to full-time roles, internships, and research collaborations in data science, ML engineering, and analytics.