Pooja Sadarangani

Machine Learning Engineer @Headway Technologies

Milpitas, CA, US

Developing and deploying end-to-end ML models for anomaly detection on time-series and IoT sensor data using algorithms such as Autoencoders, Isolation Forests, SVM, and DBSCAN, with a strong focus on robust feature engineering and preprocessing such as PCA and Dynamic Time Warping• Integrating ML models into real-time data pipelines, including edge deployments on devices such as Raspberry Pi, enabling real-time anomaly detection and defect localization directly at the point of data acquisition

University of Washington Information School

Master of Science - MS

Dwarkadas J. Sanghvi College of Engineering

Bachelor's degree