Nidhi Sehgal

Title: The Innovative Contributions of Nidhi Sehgal in Machine Learning

Introduction: Nidhi Sehgal, an accomplished inventor based in Fremont, CA, has made significant strides in the field of machine learning. With a focus on enhancing predictive models, she has developed a patented approach that enhances the interpretation and understanding of feature influences in predictive analytics.

Latest Patents: Nidhi holds a patent for her work titled "Feature contributors and influencers in machine learned predictive models." This patent describes a method for generating pseudo-samples using localized stratified sampling for target sample data. The technique allows feeding these pseudo-samples into a trained machine learning model to derive prediction values. By employing a piecewise linear regression model, her approach identifies key feature influencers and contributors, allowing for deeper insights into prediction changes relative to adjusted feature values.

Career Highlights: Nidhi's career is marked by her innovative contributions at Microsoft Technology Licensing, LLC, where she leverages her expertise to push the boundaries of machine learning applications. Her commitment to advancing this technological frontier is evident in the complexity and utility of her patented invention.

Collaborations: Throughout her professional journey, Nidhi has collaborated with talented individuals such as Jilei Yang and Wei Di. These partnerships have enriched her work, allowing for interdisciplinary approaches to machine learning challenges.

Conclusion: Nidhi Sehgal's inventive spirit and technical expertise have positioned her as a notable figure in the world of machine learning. With her patent highlighting her innovative methods, she continues to lead advancements that will shape the future of predictive modeling in technology.