Company Filing History:
Years Active: 2015-2020
Title: Innovations by Sagar Arun Mainkar
Introduction
Sagar Arun Mainkar is a notable inventor based in Pune, India. He has made significant contributions to the field of computer-implemented systems, particularly in the area of forecasting and data analysis. With a total of 3 patents to his name, Mainkar's work is recognized for its innovative approaches to handling large-scale time series data.
Latest Patents
One of his latest patents is titled "Computer implemented systems for automatic hierarchy for large scale time series data sets." This invention focuses on generating a hierarchical structure for timestamped data, which can enhance hierarchical analysis and forecasting. The automated method identifies attributes of the data, clusters it to select relevant attributes, and orders these attributes to create a recommended hierarchical order. This approach is designed to perform effectively under hierarchical models, providing a robust framework for data interpretation.
Another significant patent by Mainkar is "Computer-implemented systems and methods for testing large scale automatic forecast combinations." This invention evaluates the performance of various forecasting models by generating a combined forecast from selected models. The ex-ante combined forecast is then compared with actual out-of-sample data to assess its accuracy, thereby improving forecasting methodologies.
Career Highlights
Sagar Arun Mainkar is currently employed at SAS Institute Inc., a leading company in analytics and data management. His work at SAS has allowed him to apply his innovative ideas in practical settings, contributing to advancements in data analysis and forecasting technologies.
Collaborations
Mainkar has collaborated with notable colleagues, including Michael James Leonard and Michael Ryan Chipley. These collaborations have further enriched his work and expanded the impact of his inventions in the field.
Conclusion
Sagar Arun Mainkar's contributions to the field of computer-implemented systems and forecasting are noteworthy. His innovative patents demonstrate a commitment to enhancing data analysis methodologies. Through his work at SAS Institute Inc., he continues to influence the landscape of data management and forecasting technologies.