New Delhi, India

Mahima Rawat


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Mahima Rawat: Innovator in Anomaly Visualization

Introduction

Mahima Rawat is a distinguished inventor based in New Delhi, India. She has made significant contributions to the field of computerized models, particularly in the area of anomaly visualization. With a total of 2 patents to her name, Mahima is recognized for her innovative approaches to enhancing model decision-making processes.

Latest Patents

One of Mahima's latest patents is focused on anomaly visualization for computerized models. This invention involves systems and methods designed to visualize decisions made by computerized models. The model system accesses result data that includes event results for multiple events and event feature data that describes sets of event features. A first event result is generated using the computerized model and a first set of event features. The model system also utilizes importance score data, which assigns importance scores to various event features. A user interface is generated for display, featuring visual indicators that correspond to the importance scores of the event features. This user interface is designed to enhance the user's understanding of the model's decisions.

Career Highlights

Mahima Rawat is currently employed at Wells Fargo Bank, N.A., where she applies her expertise in computerized modeling and visualization. Her work at the bank allows her to contribute to innovative financial solutions and improve decision-making processes.

Collaborations

Some of Mahima's notable coworkers include Carmel Nadav and Manish Pandey. Their collaboration fosters a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Mahima Rawat is a remarkable inventor whose work in anomaly visualization has the potential to transform how computerized models are understood and utilized. Her contributions to the field are paving the way for more effective decision-making processes in various applications.

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