Delhi, India

Chirag Ahuja

This inventor holds 2 USPTO granted patents and 5 published patent applications. Top assignee: Oracle International Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chirag Ahuja. Retrieved from https://idiyas.com/inventor/chirag-ahuja-5m5d0wdx

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Chirag Ahuja: Innovator in Forecasting Techniques

Introduction

Chirag Ahuja is a notable inventor based in Delhi, India. He has made significant contributions to the field of data forecasting through his innovative techniques. His work focuses on enhancing the accuracy and efficiency of forecasting datasets.

Latest Patents

Chirag Ahuja holds a patent for "Forecasting datasets using blend of temporal aggregation and grouped aggregation." This patent describes techniques for forecasting datasets by utilizing a combination of temporal aggregation and grouped aggregation. The method involves accessing two time series, determining a grouped aggregated data point by aligning data points, and summing their values. This innovative approach also includes determining input values for a machine learning model to forecast future values.

Career Highlights

Chirag Ahuja is currently employed at Oracle International Corporation, where he applies his expertise in data analysis and forecasting. His work at Oracle has allowed him to collaborate with other talented professionals in the field.

Collaborations

Chirag has worked alongside Jie Xing, contributing to various projects that enhance data forecasting methodologies.

Conclusion

Chirag Ahuja is a prominent inventor whose work in forecasting techniques has the potential to transform data analysis. His innovative patent reflects his commitment to advancing technology in this field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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