Maria Beltran

Title: Maria Beltran: Innovator in Latent Dirichlet Allocation Models

Introduction

Maria Beltran is a prominent inventor based in Chicago, IL (US). She has made significant contributions to the field of data analysis and natural language processing. With a total of 2 patents, her work focuses on enhancing the accuracy and effectiveness of Latent Dirichlet Allocation (LDA) models.

Latest Patents

Maria's latest patents include a method and system for maintaining latent Dirichlet allocation model accuracy. This innovative method counteracts model drift in LDA models by ensuring freshness and accuracy. It leverages LDA classification and vector algebra to detect potential degradations. The method involves determining whether an LDA model has drifted and requires retraining based on measurements of cosine similarities of respective topics corresponding to two LDA models. Additionally, she has developed a system for clustering topics for data visualization. This system analyzes case records by extracting case text, performing natural language processing, and allocating each case text to a topic. The resulting data can be visualized on a dashboard, allowing users to identify and explore meaningful patterns.

Career Highlights

Maria is currently employed at JPMorgan Chase Bank, N.A., where she applies her expertise in data analysis and model accuracy. Her work has been instrumental in improving the bank's analytical capabilities.

Collaborations

Some of her notable coworkers include Brandon Chihkai Yang and Philip Jacob. Their collaborative efforts contribute to the innovative projects at JPMorgan Chase Bank.

Conclusion

Maria Beltran is a trailblazer in the field of data analysis, with her patents reflecting her commitment to advancing technology. Her contributions are paving the way for more accurate and effective data processing methods.