This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Mohd Israil Khan: Innovator in Multidimensional Data Analysis
Introduction
Mohd Israil Khan is a notable inventor based in Noida, India. He has made significant contributions to the field of data analysis, particularly in the area of issue prediction. His innovative approach combines statistical and deep learning models to enhance predictive capabilities.
Latest Patents
Khan holds a patent for a system titled "Multidimensional data analysis for issue prediction." This system utilizes a model generator that processes resolved data items related to service issues. The resolved data items encompass various attributes corresponding to multiple data dimensions. The model generator adjusts a population of attributes based on both a statistical data model and a deep learning data model, which operate independently. The statistical model provides a predictive feature, while the deep learning model offers a predictive label based on performance metrics. Together, these elements define the training data necessary for predicting potential issues related to unresolved data items. The trained data model subsequently triggers alerts based on the identified potential issues.
Career Highlights
Mohd Israil Khan is currently employed at Accenture Global Solutions Limited, where he applies his expertise in data analysis and predictive modeling. His work focuses on developing innovative solutions that enhance service delivery and operational efficiency.
Collaborations
Khan collaborates with talented professionals such as Anindya Dutt and Kamalesh Kuppusamy Kuduva. Their combined efforts contribute to the advancement of data analysis techniques within their organization.
Conclusion
In summary, Mohd Israil Khan is a pioneering inventor whose work in multidimensional data analysis has the potential to transform issue prediction methodologies. His contributions are valuable assets to the field of data science and technology.
