Apex, NC, United States of America

Sujatha Pothireddy


Average Co-Inventor Count = 6.5

ph-index = 6

Forward Citations = 92(Granted Patents)


Location History:

  • Rochester, MN (US) (2001)
  • Apex, NC (US) (2001 - 2023)

Company Filing History:


Years Active: 2001-2023

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8 patents (USPTO):

Title: Sujatha Pothireddy: Innovator in Time-Series Data Forecasting

Introduction

Sujatha Pothireddy is a prominent inventor based in Apex, North Carolina, known for her significant contributions to the field of data forecasting. With a total of eight patents to her name, she has developed innovative systems that enhance the accuracy and efficiency of forecasting models.

Latest Patents

Among her latest patents is a system for computerized engines and graphical user interfaces designed for customizing and validating forecasting models. This system allows users to select time series data and apply various forecasting models, obtaining candidate values for parameters based on statistical information derived from the data. It also includes a mechanism to identify conflicts between parameter values, ensuring reliable outputs. Another notable patent is a pipeline system for time-series data forecasting, which utilizes a distributed computing environment. This pipeline generates a sequence of operations to process time series data, applying different model strategies to determine the most effective forecasting approach.

Career Highlights

Sujatha has worked with renowned companies such as SAS Institute Inc. and International Business Machines Corporation (IBM). Her experience in these organizations has equipped her with the skills necessary to innovate in the field of data forecasting.

Collaborations

Some of her notable coworkers include Jerzy Michal Brzezicki and Udo Sglavo, who have collaborated with her on various projects.

Conclusion

Sujatha Pothireddy's work in time-series data forecasting exemplifies her innovative spirit and dedication to advancing technology. Her patents reflect her expertise and commitment to improving forecasting methodologies.

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