Rajshri Simhadri

Background

About Rajshri Simhadri

Specializing in Pattern Analysis and Machine Intelligence at University of Waterloo, with a strong focus on multivariate time series analysis, IoT systems, control algorithms, and predictive modeling. Bridging the gap between electrical engineering and machine learning, with hands-on experience in BLDC motor characterization, sensor data analysis, and circuit design using Cadence Virtuoso. Skilled in Databricks, Apache PySpark, Python & MATLAB. Currently applying these skills to a real-world project on predictive maintenance and anomaly detection in industrial motor systems, leveraging deep learning and attention-based architectures. Passionate about advancing AI, machine learning, and smart infrastructure solutions. Always looking to learn, collaborate, and make an impact in fast-paced, multidisciplinary environments!