Arvind Shyam Verma

Title: Arvind Shyam Verma: Innovator in Anomaly Detection Systems

Introduction

Arvind Shyam Verma is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of anomaly detection in time-series data. His innovative approach has led to the development of systems and methods that enhance the accuracy and efficiency of detecting anomalies in various datasets.

Latest Patents

Arvind holds a patent titled "Systems and methods for automated anomaly detection in univariate time-series." This patent describes a process where a time-series dataset is received, and segments are iteratively defined by identifying changepoints based on specific criteria. The method includes determining whether the segments meet threshold criteria and adjusting sensitivity parameters accordingly. The result is a set of anomaly-flagged segments that can be combined to generate an anomaly-flagged time-series. He has 1 patent to his name.

Career Highlights

Arvind is currently employed at Walmart Apollo, LLC, where he applies his expertise in data analysis and anomaly detection. His work focuses on developing advanced systems that can automatically identify anomalies in time-series data, which is crucial for various applications in business and technology.

Collaborations

Throughout his career, Arvind has collaborated with talented professionals, including Manjunath Channappagoudar and Mohit Choudhary. These collaborations have contributed to the advancement of his research and the successful implementation of his innovative solutions.

Conclusion

Arvind Shyam Verma is a distinguished inventor whose work in anomaly detection systems has the potential to transform data analysis practices. His contributions are paving the way for more efficient and accurate methods in handling time-series data.