Anal Kumar De

Title: Anal Kumar De: Innovator in Data Model Assessment

Introduction

Anal Kumar De is a prominent inventor based in Kolkata, India. He has made significant contributions to the field of data assessment through his innovative patent. His work focuses on enhancing the reliability of data models, which is crucial in various applications across industries.

Latest Patents

Anal Kumar De holds a patent titled "Veracity assessment of a data model." This system is designed to assess a data model by utilizing a data receiver, a model receiver, and a model assessment device. The data receiver collects training data, historical data, and production data. The model receiver obtains the data model associated with the historical data, which is trained using the training data. The historical data includes an initial outcome of the data model based on an input feature in the production data. The model assessment device identifies a key feature in the production data relative to the input feature, based on a target category in the historical data and a statistical distribution of the input feature in the production data. It then determines a second outcome of the data model based on the key feature. If the second outcome differs from the first outcome, the model assessment device calculates a veracity score to evaluate the data model's reliability.

Career Highlights

Anal Kumar De is currently employed at Accenture Global Solutions Limited, where he applies his expertise in data assessment and model evaluation. His role involves collaborating with various teams to enhance data-driven decision-making processes.

Collaborations

Anal has worked alongside talented colleagues such as Rajeev John and Priya Das. Their combined efforts contribute to the innovative projects at Accenture, fostering a collaborative environment that encourages creativity and problem-solving.

Conclusion

Anal Kumar De is a noteworthy inventor whose work in data model assessment is paving the way for more reliable data-driven solutions. His contributions are essential in advancing the field of data science and technology.