Srijan Sood

Title: Srijan Sood: Innovator in Data Processing and Forecasting

Introduction

Srijan Sood is a notable inventor based in New York, NY (US). He has made significant contributions to the field of data processing and forecasting through his innovative patents. With a total of 2 patents, Srijan continues to push the boundaries of technology and data analysis.

Latest Patents

Srijan's latest patents include a "Method and system for generating keywords" and a "Method for automatically identifying signals or patterns in time series data by treating series as image." The first patent outlines a method for generating keywords that distinguish a selected group of documents from a larger corpus. This involves receiving a corpus of documents, selecting a group based on predetermined criteria, and determining Inverse Document Frequency (IDF) scores for each word in the vocabulary. The second patent focuses on using images to represent time-series data for forecasting future values. This method converts time-series data into images and utilizes machine learning algorithms to predict future values as pixelated information.

Career Highlights

Srijan Sood is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in data analysis and innovation. His work contributes to the bank's ability to leverage data for improved decision-making and forecasting.

Collaborations

Some of Srijan's coworkers include Tucker Richard Balch and Kassiani Papasotiriou, who collaborate with him on various projects within the bank.

Conclusion

Srijan Sood is a prominent inventor whose work in data processing and forecasting is shaping the future of technology. His innovative patents and contributions to JPMorgan Chase Bank highlight his commitment to advancing the field.