Yashesh Deepakkumer Dhebar

Title: Yashesh Deepakkumer Dhebar: Innovator in Machine Learning for Code Classification

Introduction

Yashesh Deepakkumer Dhebar is a notable inventor based in East Lansing, MI (US). He has made significant contributions to the field of machine learning, particularly in the area of code classification. His innovative approach combines various machine learning techniques to enhance the accuracy of tariff code predictions.

Latest Patents

Yashesh holds a patent for a "Hybrid machine learning model for code classification." This invention involves a hybrid machine learning classifier that utilizes a random forest of decision tree classifiers to predict a tariff code prefix. Additionally, it employs a plurality of expert trees to predict a tariff code suffix based on properties related to chemical components associated with the respective tariff code prefixes. The process includes determining the proportion of a dominant chemical component compared to other components, calculating similarity scores for a new set of chemical components, generating a feature vector, and obtaining a predicted tariff code.

Career Highlights

Yashesh is currently employed at The Dow Chemical Company, where he applies his expertise in machine learning to real-world challenges. His work focuses on improving the efficiency and accuracy of chemical component classification, which is crucial for various applications in the chemical industry.

Collaborations

Yashesh collaborates with talented colleagues, including Chun S Wang and John M Wassick. These partnerships enhance the innovative environment at The Dow Chemical Company and contribute to the development of cutting-edge technologies.

Conclusion

Yashesh Deepakkumer Dhebar is a pioneering inventor whose work in machine learning has the potential to transform code classification processes. His contributions to the field are significant, and his ongoing work at The Dow Chemical Company continues to push the boundaries of innovation.