Bengaluru, India

Ankan Pal


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Ankan Pal: Innovator in Data Lineage and Change Impact Prediction

Introduction

Ankan Pal is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data management and computing. His innovative work focuses on data lineage identification and change impact prediction in distributed computing environments.

Latest Patents

Ankan Pal holds a patent for a method and system that enhances data lineage identification and change impact prediction. The patent describes how servers capture metadata defining data objects associated with data sources. These servers determine direct relationships between data sources based on the captured metadata and identify indirect relationships as well. They generate a data lineage across the data sources for the data objects. Additionally, the servers extract unstructured text from database incident tickets and match it to the metadata. They generate a multidimensional vector for the data objects based on the data lineage and unstructured text. A classification model is then trained using these vectors to predict a change impact score for each data object. When a request to change a data object is received, the servers determine the change impact score. If the score is below a certain threshold, the servers execute the change.

Career Highlights

Ankan Pal is currently employed at FMR Corp., where he applies his expertise in data management. His work has been instrumental in developing systems that improve data handling and predictive analytics.

Collaborations

Ankan collaborates with talented professionals such as Gopalakrishnan Subramanian and Srinivas Gururaja Rau. Their combined efforts contribute to advancements in their field.

Conclusion

Ankan Pal is a distinguished inventor whose work in data lineage and change impact prediction is paving the way for more efficient data management solutions. His contributions are valuable to the evolving landscape of distributed computing.

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