Ravneet Ghuman

Title: Innovator Spotlight: Ravneet Ghuman

Introduction

Ravneet Ghuman is a prominent inventor based in Phoenix, AZ, known for her contributions to machine learning and data analysis. With a total of 6 patents to her name, she has made significant strides in the field of technology, particularly in systems that enhance data retrieval and processing.

Latest Patents

One of her latest patents focuses on identifying data of interest using machine learning. This patent discloses systems and methods for retrieving unstructured data from internet sources through an alert system or RSS feed. The system inputs this unstructured data into various models and scoring systems to assess its relevance. Notably, it employs models such as Naïve Bayes, long short-term memory (LSTM), named entity recognition (NER), semantic role labeling (SRL), sentiment scoring algorithms, and gradient boosted regression trees (GBRT). If the data is deemed of interest, a data alert is generated for further review or automated decision-making.

Another significant patent involves decision tree learning with missing data. This innovation outlines methods for utilizing decision trees in machine learning when certain data points are absent. The process begins by identifying an attribute for splitting records, followed by dividing the records into subsets based on the presence or absence of that attribute. This method enhances the decision-making capabilities of machine learning models, even in the face of incomplete data.

Career Highlights

Ravneet Ghuman is currently employed at American Express Travel Related Services Company, Inc., where she applies her expertise in machine learning to develop innovative solutions. Her work has been instrumental in advancing the company's technological capabilities and improving data-driven decision-making processes.

Collaborations

Throughout her career, Ravneet has collaborated with talented professionals, including Sandeep Bose and Vinod Yadav. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Ravneet Ghuman's contributions to the field of machine learning and data analysis are noteworthy. Her innovative patents and career achievements reflect her dedication to advancing technology and improving data processing methods.