San Jose, CA, United States of America

Janice M Zdankus


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Janice M. Zdankus: Innovator in Data Analytics

Introduction

Janice M. Zdankus is a prominent inventor based in San Jose, California. She has made significant contributions to the field of data analytics, holding three patents that showcase her innovative approach to data processing and analysis.

Latest Patents

One of her latest patents is titled "Data recommender using lineage to propagate value indicators." This patent describes systems and methods that gather information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For instance, it may derive these indicators from data-related products, semantic analysis of the code and processing steps, the structure of data processing pipelines, and human behavior related to the production and usage of data-related products. When a new data analysis project is initiated, the system gathers parameters and characteristics about the project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and other data-related products.

Career Highlights

Janice currently works at Hewlett Packard Enterprise Development LP, where she continues to develop innovative solutions in data analytics. Her work has been instrumental in advancing the capabilities of data processing systems.

Collaborations

Janice has collaborated with notable professionals in her field, including Ted Dunning and Suparna Bhattacharya. These collaborations have further enriched her work and contributed to the development of cutting-edge technologies.

Conclusion

Janice M. Zdankus is a trailblazer in the realm of data analytics, with her patents reflecting her commitment to enhancing data processing methodologies. Her contributions are paving the way for more efficient and effective data analysis in various applications.

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