Company Filing History:
Years Active: 2019
Title: Nilesh Kuchekar: Innovator in Look-Alike Modeling Technology
Introduction
Nilesh Kuchekar is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of technology, particularly in the area of look-alike modeling. His innovative approach has led to the development of a unique patent that enhances data analysis and audience segmentation.
Latest Patents
Nilesh holds a patent titled "System and method based on sliding-scale cluster groups for precise look-alike modeling." This invention features a graphical user interface that displays relevant sliding scale cluster groups. It includes a processor that generates a ranking of Top N1 features of the seed dataset based on their frequency of occurrence. Additionally, the processor creates another ranking of Top N2 features in correlation with their equivalent percentage in the total dataset. The invention identifies the Top M co-related features for each of the Top N (N1+N2) features present in the seed dataset. The processor generates sliding scale clusters through permutations of the Top M features and sorts each permutation based on the closest occurrence match. A Seed Group Meta Bitmap Index is created for the seed audience segment, and the processor calculates the available amplification count from the Total Audience Bitmap Index until the desired amplification is achieved. Nilesh has 1 patent to his name.
Career Highlights
Nilesh is currently employed at Cadreon LLC, where he applies his expertise in data modeling and audience analysis. His work has been instrumental in advancing the company's capabilities in targeted marketing and data-driven decision-making.
Collaborations
Nilesh collaborates with talented professionals such as Bhupendra Mohanlal Patel and Tushar Patel. Their combined efforts contribute to the innovative projects at Cadreon LLC.
Conclusion
Nilesh Kuchekar is a notable inventor whose work in look-alike modeling technology has made a significant impact in the field. His patent and contributions to Cadreon LLC highlight his dedication to advancing data analysis techniques.
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