Company Filing History:
Years Active: 2015
Title: Kshitija Ambulgekar: Innovator in Time Series Exploration
Kshitija Ambulgekar is a notable inventor based in Pune, India. She has made significant contributions to the field of data analysis through her innovative patent. Her work focuses on enhancing the understanding and structuring of unstructured time-stamped data, which is increasingly important in today's data-driven world.
Latest Patents
Kshitija holds a patent titled "Computer-implemented systems and methods for time series exploration using structured judgment." This patent describes systems and methods for analyzing unstructured time-stamped data. The invention provides a first series of user display screens that are configured to be displayed in a step-wise manner. This allows users to specify a first approach through predetermined steps on how the unstructured data should be structured. Additionally, a second series of user display screens is provided for users to specify a second approach. The tracking data enables alternate viewing of both approaches, facilitating a decision on how to format the unstructured time-stamped data.
Career Highlights
Kshitija is currently employed at SAS Institute Inc., a leading company in analytics and data management. Her role involves leveraging her expertise in data analysis to develop innovative solutions that address complex data challenges. With her unique skill set, she has positioned herself as a valuable asset in her field.
Collaborations
Kshitija has collaborated with several professionals in her field, including Michael James Leonard and Michael Ryan Chipley. These collaborations have allowed her to expand her knowledge and contribute to various projects that enhance data analysis methodologies.
Conclusion
Kshitija Ambulgekar is a pioneering inventor whose work in time series exploration is making a significant impact in the field of data analysis. Her innovative patent and contributions to SAS Institute Inc. highlight her dedication to advancing technology and improving data management practices.