Inderdeep Singh

Title: Inderdeep Singh: Innovator in Financial Market Data Processing

Introduction

Inderdeep Singh is a prominent inventor based in Chicago, IL, known for his significant contributions to the field of financial technology. With a total of eight patents to his name, Singh has developed innovative systems and methods that enhance the efficiency and accuracy of machine learning applications in financial markets.

Latest Patents

Singh's latest patents include groundbreaking work in pre-processing financial market data prior to machine learning training. His first patent outlines systems and methods for pre-processing data to facilitate efficient and accurate machine learning. This involves partitioning market data into windows, assigning categories to these windows, and generating a series of vectors. These vectors are then input into a computer system that executes a machine learning algorithm, enabling the efficient training of a neural network to identify structures or patterns within the data.

Another notable patent focuses on deep learning for credit controls. This system identifies abnormal transaction activity by a participant that is inconsistent with current conditions. It utilizes a recurrent neural network to analyze historical participant and external data, comparing new transactions against identified patterns. An abnormality score is generated, and alerts are issued if this score exceeds a predetermined threshold.

Career Highlights

Inderdeep Singh is currently employed at the Chicago Mercantile Exchange Inc., where he applies his expertise in financial data processing and machine learning. His work has significantly impacted the way financial institutions analyze and respond to market data.

Collaborations

Singh collaborates with notable colleagues, including Ari L Studnitzer and David John Geddes, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Inderdeep Singh's contributions to the field of financial technology through his patents and work at the Chicago Mercantile Exchange Inc. highlight his role as a leading inventor in the industry. His innovative approaches to data processing and machine learning continue to shape the future of financial analysis.