satyabrata pal

Worked on a machine learning project as part of a "hackathon" event in my present organization. Aim of this project was to develop a ML framework to predict how defect prone a new application or module can be based on historic data, so that testing of the module/app can be prioritized even before the actual tets planning is started.

Designed and developed a python based framework to automate the manual task of communicating between the local machine and the mainframe backend. This project involved the complete automation of reading data from files and building message strings , feedign data to the backend process and monitor the entire end-to-end processing of the files. The main job of this framework was to take decisions based about the file processing faliure happening in the backend without manual intervention