Nischal Dave Email & Phone Number

Greenwich, Connecticut, United States

Amherst

Grader of homework, lab assignments, midterm and final examinations

Holding weekly lab sessions and office hours addressing concepts taught in class.

Traditional relational data interfaces require precise structured queries over potentially complex schemas. These rigid data retrieval mechanisms pose hurdles for non-expert users, who typically lack language expertise and are unfamiliar with the details of the schema. Query by Example (QBE) methods offer an alternative mechanism: users provide examples of their intended query output and the QBE system needs to infer the intended query. This project focuses on a novel QBE system, SQuID, which uses a probabilistic abduction model to capture the intended semantic similarities in user-provided examples and infer queries more effectively. The goal of this thesis is to perform a thorough evaluation of SQuID through a user study. While SQuID has been evaluated with synthetic workloads, a user study is necessary to confirm its utility in practice. This project also aims to augment SQuID with tuple recommendation functionality, where the system provides a user with suggestions for labeling, rather than solely relying on user-provided examples. Such functionality will help overcome user biases in the example set and will allow SQuID to converge on the likely intent with fewer interactions.

· Created installer for endpoint detection security software using InstallBuilder and XML.· Worked with the Java team developing API’s for implementation of Policy Merger tool.· Developed AI Data Workbench with Research and Development Team.· Used Python scripts to convert modules in different formats into a structured generalized CSV format.