Rohit Kewalramani

Title: Rohit Kewalramani: Innovator in Machine Learning and Web Data Taxonomy

Introduction

Rohit Kewalramani is a notable inventor based in Pune, India. He has made significant contributions to the field of machine learning, particularly in the area of web data taxonomy. With a total of four patents to his name, Kewalramani is recognized for his innovative approaches to automating the classification of web-based activities.

Latest Patents

One of Kewalramani's latest patents is titled "Machine-learning-aided automatic taxonomy for web data." This invention utilizes a training dataset of annotated features to train a model that predicts a class within a taxonomy of web-based activities. The features are derived from a uniform resource locator (URL) of an online resource and its associated metadata. During operation, features are extracted from the URL and metadata of each activity record in web data. The trained model is then applied to these extracted features to predict a class within the taxonomy. The predicted taxonomic class is stored in association with the URL, resulting in a taxonomized URL.

Career Highlights

Kewalramani has worked with several prominent companies, including Innoplexus AG and 6sense Insights, Inc. His experience in these organizations has allowed him to refine his skills and contribute to various innovative projects. His work has been instrumental in advancing the understanding and application of machine learning in real-world scenarios.

Collaborations

Some of Kewalramani's notable coworkers include Gaurav Tripathi and Vatsal Agarwal. Their collaborative efforts have further enhanced the impact of their work in the field of machine learning and web data classification.

Conclusion

Rohit Kewalramani stands out as an influential inventor in the realm of machine learning and web data taxonomy. His innovative patents and career achievements reflect his dedication to advancing technology and improving the classification of web-based activities.