Malhar Siddhesh Jere

Title: Malhar Siddhesh Jere: Innovator in Synthetic Data Generation

Introduction

Malhar Siddhesh Jere is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of data science, particularly in the generation of synthetic data. His innovative approach addresses the challenges of preserving statistical properties while creating synthetic datasets.

Latest Patents

Malhar holds a patent titled "Method and system for generating synthetic data using a regression model while preserving statistical properties of underlying data." This patent describes a method for generating a synthetic dataset by discretizing synthetic data based on a model of a cumulative distribution function (CDF) driven by random numbers. The CDF is derived from a source dataset, and the method includes generating the synthetic dataset by selecting values from the source dataset based on the discretized synthetic data. This synthetic dataset is then provided to downstream applications that operate on the source dataset. He has 1 patent to his name.

Career Highlights

Malhar is currently employed at Intuit, Inc., where he applies his expertise in data generation and analysis. His work focuses on enhancing the capabilities of data-driven applications, making them more efficient and reliable.

Collaborations

Some of Malhar's coworkers include Ashok N Srivastava and Sumanth Venkatasubbaiah, who contribute to the innovative environment at Intuit, Inc.

Conclusion

Malhar Siddhesh Jere is a pioneering inventor whose work in synthetic data generation is shaping the future of data science. His contributions are vital for advancing the field and improving the functionality of data applications.