This inventor holds 2 USPTO granted patents and 8 published patent applications. Top assignee: Bank of America Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Duy Minh Pham: Innovator in Anomaly Detection
Introduction
Duy Minh Pham is a notable inventor based in Charlotte, NC, who has made significant contributions to the field of data analysis and anomaly detection. His innovative approach focuses on the analysis of time series data with irregular trends, which is crucial for various applications in real-time data monitoring.
Latest Patents
Duy Minh Pham holds a patent titled "Composite model analysis of time series data having irregular trends for anomaly detection." This invention utilizes hierarchical modeling and advanced feature engineering to discover abnormalities in time series data. The system collects data in real time to ensure temporal integrity, employing extraction filters to isolate useful information. Data cleansing techniques are applied to remove noise and extraneous data after preliminary analysis identifies patterns and abnormalities. Feature engineering organizes the cleansed data for machine learning algorithms, while primary storage facilitates fast retrieval and extensive trend analysis. The invention also considers unique patterns that occur during holidays and weekends, which are used to cluster data and create hierarchical predictive models. These models start with a first-order model for general trends and increase in order to refine residuals. Serializing these models enhances storage and retrieval efficiency. The system monitors incoming data to detect anomalies, employing statistical tests and machine learning classifiers to identify deviations and create alerts.
Career Highlights
Duy Minh Pham is currently employed at Bank of America Corporation, where he applies his expertise in data analysis and anomaly detection. His work significantly contributes to the bank's ability to monitor and analyze data effectively.
Collaborations
Duy Minh Pham has collaborated with colleagues such as Carl M Benda and Colin Murphy, enhancing the innovative capabilities of his projects through teamwork and shared expertise.
Conclusion
Duy Minh Pham's contributions to anomaly detection through his innovative patent demonstrate his commitment to advancing data analysis techniques. His work not only enhances the efficiency of data monitoring but also sets a foundation for future innovations in the field.