This inventor holds 6 USPTO granted patents and 2 published patent applications. Top assignees: Kyndryl, Inc., International Business Machines Corporation. Active years: 2021-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2021-2024
Title: Dinesh Babu Yeddu: Innovator in Log Data Analysis
Introduction
Dinesh Babu Yeddu is a prominent inventor based in Guntur, India. He has made significant contributions to the field of log data analysis, holding a total of 6 patents. His innovative work focuses on enhancing the detection of anomalies in log data, which is crucial for various industries relying on data-driven decision-making.
Latest Patents
Dinesh's latest patents include groundbreaking technologies such as "Unsupervised Log Data Anomaly Detection." This patent outlines a method for detecting log data anomalies by pre-processing log data entries, identifying sequences, generating key performance indicators (KPIs), training machine learning models, and identifying anomalies based on these models. Another notable patent is "Automated System Alert Based on Logs Sentiment Analysis." This invention presents methods for creating a log data-specific lexicon, assigning sentiment values to log messages, classifying them, and producing system alerts based on the analysis.
Career Highlights
Throughout his career, Dinesh has worked with esteemed companies such as Kyndryl, Inc. and International Business Machines Corporation (IBM). His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in technology.
Collaborations
Dinesh has collaborated with talented individuals such as Suba Palani and Sundaravelu Shanmugam. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.
Conclusion
Dinesh Babu Yeddu is a remarkable inventor whose work in log data analysis has paved the way for more efficient data management solutions. His contributions are vital in the ever-evolving landscape of technology and data analytics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile