Arindam Jati

Title: Arindam Jati: Innovator in Time Series Forecasting

Introduction

Arindam Jati is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of time series forecasting, holding 6 patents that showcase his innovative approach to data analysis and interpretation.

Latest Patents

One of his latest patents is titled "Black-box explainer for time series forecasting." This invention provides a method, system, and computer program product for an interpretable, feature-based post-hoc black box explainer for univariate time series forecasters. The method receives a set of time series forecasting predictions generated from black-box models trained with an initial data set. It generates features based on a portion of the initial data set and trains surrogate models based on the predictions and features. The method ultimately produces explanation outputs for the forecasting predictions of the black-box models.

Another significant patent is "Sliding window memory optimizations for time-series foundation models." This embodiment involves sensing a raw data sequence by a central processing unit and computing a transfer data size based on the comparison of the raw data sequence's size to the memory size of a graphics processing unit. The central processing unit transfers the raw data sequence to the graphics processing unit based on the transfer data size and trains a foundation model on the raw data sequence using a sliding window algorithm.

Career Highlights

Arindam Jati is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in data science and machine learning. His work focuses on enhancing the interpretability and efficiency of time series forecasting models.

Collaborations

He collaborates with talented individuals such as Vijay Ekambaram and Nam H Nguyen, contributing to a dynamic and innovative work environment.

Conclusion

Arindam Jati's contributions to time series forecasting through his patents reflect his commitment to advancing technology in data analysis. His work at IBM and collaborations with other professionals further enhance his impact in the field.