Sunita Kanchinadam

Title: Sunita Kanchinadam: Innovator in Anomaly Detection

Introduction

Sunita Kanchinadam is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of data analysis, particularly in the area of anomaly detection in time series data. Her innovative work has the potential to enhance the accuracy and efficiency of data monitoring systems.

Latest Patents

Sunita holds a patent for "Systems and methods for anomaly detection in time series data using dynamic pairing." This patent describes systems, methods, and computer-readable storage media that facilitate the detection of anomaly data. The disclosed embodiments involve identifying asset pairs based on relationship information extracted from time series data. A real-time data stream is monitored in view of this relationship information, allowing for the detection of anomalies in asset pairs based on their behaviors relative to each other. The detection of an anomaly can trigger the generation of a control signal, which may initiate an investigation into the anomaly and other actions to mitigate its impact.

Career Highlights

Sunita is currently employed at The Bank of New York Mellon Corporation, where she applies her expertise in data analysis and anomaly detection. Her work at the bank involves leveraging her patented technology to improve financial data monitoring and risk management processes.

Collaborations

Sunita collaborates with her coworker, Venkat Kambhampati, to further enhance their research and development efforts in the field of data analysis.

Conclusion

Sunita Kanchinadam is a trailblazer in the realm of anomaly detection, with her innovative patent paving the way for advancements in data monitoring systems. Her contributions are invaluable to the financial sector and beyond.