Company Filing History:
Years Active: 2010-2025
Title: Youngjin Park: Innovator in Forecasting and Outlier Detection
Introduction
Youngjin Park is a notable inventor based in Raleigh, NC (US), recognized for his contributions to forecasting software and multivariate outlier detection. With a total of 3 patents, he has made significant strides in enhancing the capabilities of data analysis and visualization.
Latest Patents
One of Youngjin Park's latest patents is titled "Hierarchical modeling node for visual forecasting." This innovative system generates a graphical user interface (GUI) for forecasting software, allowing users to define an overall forecasting pipeline through graphical nodes arranged on a drag-and-drop canvas. The hierarchical modeling node enables users to create a time series hierarchy and customize separate level pipelines for each level, ultimately generating multiple forecasts. The system also includes a reconciliation process to produce reconciled forecasts and visualizations.
Another significant patent is the "System and method for Multivariate outlier detection." This computer-implemented method identifies actions outside of a norm by generating actor and peer group state vectors. It transforms these vectors into sampled wave series representations and filters them to detect deviations in phase or magnitude, providing valuable insights into data anomalies.
Career Highlights
Youngjin Park is currently employed at SAS Institute Inc., a leading analytics software company. His work focuses on developing advanced methodologies that enhance data forecasting and analysis, contributing to the company's reputation for innovation in the field.
Collaborations
Throughout his career, Youngjin has collaborated with talented individuals such as Michael James Leonard and Rajesh S Selukar. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Youngjin Park's innovative work in forecasting and outlier detection exemplifies the impact of technology on data analysis. His patents reflect a commitment to advancing the field and improving the tools available for data scientists and analysts.