US

Andrew Leahy

This inventor holds 0 USPTO granted patents, plus 1 CIPO patent.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew Leahy. Retrieved from https://idiyas.com/inventor/andrew-leahy-y63wf9j2

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Loading Chart...

Title: Andrew Leahy: Innovator in Model Localization for Data Analytics

Introduction

Andrew Leahy is an inventive mind based in the United States, known for his contributions to the field of data analytics and business intelligence. His innovative approach focuses on model localization, which enhances the usability of data analytics applications across different languages.

Latest Patents

Andrew Leahy holds a notable patent titled "Model Localization For Data Analytics And Business Intelligence." This invention provides a method, system, and computer program product for model localization. The method includes parsing a model to identify translatable terms, generating a seed file that associates each translatable term with a corresponding tag, and replacing each term in the model with its corresponding tag. The invention further involves submitting these terms to machine translation for a target language, resulting in a translation file that maps each tag to a translated term. This process allows for dynamic translation within user interfaces of data analytics applications.

Career Highlights

Andrew Leahy is currently associated with Looker Data Sciences Inc., where he applies his expertise in data analytics and model localization. His work contributes significantly to the development of tools that enhance data accessibility and usability for diverse audiences.

Conclusion

Andrew Leahy's innovative work in model localization exemplifies the importance of making data analytics more accessible and user-friendly across different languages. His contributions are paving the way for advancements in business intelligence applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…