Ajay P. Singh

Pre-Commit Tool (PCT) : Developed a Machine Learning model with k-means clustering method for analyzing cluttered mail or error responses stored in db. With this model, tool was able to predict the category of the message error type into 12 major categories (which had more than 50 types different messages and 1 Lac + of data). Due to ML model, other script execution was reduced by 8-10 hours in analysis and efficiency of PCT was increased by 30-35%.

Project - Charles Schwab (Banking Securities) • Handled proper analysis of SRS (Software Requirement Specification) from the technical front related to new/changed software components. • Performed test case design i.e. Test case preparation from the use cases provided by our product designers and developers • Performed various types of testing that includes Functional testing, Regression testing, compatibility testing, smoke testing etc.

Computer Science related subjects