Building systems that learn, adapt, and reveal hidden patterns — from large-scale anomaly detection pipelines to real-time forecasting models. Grounded in electrical engineering, fluent in modern data science.
YOLOv5 + CNN ensemble with hardware-integrated microcontroller pipeline. Automated deterrents (sirens, ultrasonic) for real-world precision agriculture.
End-to-end ARIMA + XGBoost forecasting with automated ingestion, validation, and Qlik Sense dashboards for real-time volatility insights.
ML-driven orbital debris collision risk pipeline with multi-platform dashboards in Tableau, Qlik Sense, and Jupyter for real-time visibility.
Open to full-time roles, internships, and research in data science, ML engineering, and analytics.