Arindam Banerjee

Title: Arindam Banerjee: Innovator in Data Analysis and Retail Solutions

Introduction

Arindam Banerjee is a notable inventor based in Roseville, MN (US). He has made significant contributions to the fields of data analysis and retail solutions, holding 2 patents that showcase his innovative approach to complex problems.

Latest Patents

One of his latest patents is titled "Inferring emerging and evolving topics in streaming text." This invention presents a method, system, and computer program product for inferring topic evolution and emergence in a set of documents. The method involves forming a group of matrices using text from the documents and analyzing these matrices to identify evolving and emerging topics. The matrices include a first matrix identifying a multitude of words, a second matrix identifying a multitude of topics, and a third matrix identifying words for each topic. This analysis is particularly useful for streaming datasets, employing temporal regularizers to enhance the identification of topics.

Another significant patent is "Multiple imputation of missing data in multi-dimensional retail sales data sets via tensor factorization." This invention provides a system and method for multiple imputation of missing data elements in retail datasets. It utilizes the multi-dimensional, tensor structure of the data to generate multiple complete datasets, capturing the variability in missing data values for subsequent statistical analysis. The method is designed to be fast and scalable, making it suitable for large datasets.

Career Highlights

Arindam has worked with prominent organizations, including IBM and the University of Minnesota. His experience in these institutions has allowed him to refine his skills and contribute to various innovative projects.

Collaborations

Some of his notable coworkers include Saha Ankan and Shiva P Kasiviswanathan. Their collaboration has likely fostered a creative environment that encourages innovation and problem-solving.

Conclusion

Arindam Banerjee's work exemplifies the intersection of technology and data analysis, making significant strides in understanding and utilizing complex datasets. His contributions continue to influence the fields of data science and retail solutions.