- Applied Area Under the Curve (AUC) Receiver Operator Characteristic (ROC) analysis using MATLAB to evaluate combinations of different thresholds to discriminate between normal controls and brain-injured patients- Performed statistical analysis on brain injury data using previously built Statistical Parametric Mapping (SPM) algorithms- Worked with Python, Jupyter Notebook, and Anaconda to conduct leave-one-out analysis and generate images

- Enhanced Python and Anaconda-based machine learning algorithm to predict F-22 flight module failures; improved code for automatic visualization generation- Developed Python script for module failure detection that filters out false alarms from real failures, generates detailed Excel reports with removed entries- Worked with DevOps tools including Jira, OneNote, and Confluence; gained proficiency in Jenkins, Jira, and Bitbucket- Updated and created Jenkins nodes for lab PCs, automated Jenkins scripts and enhanced user input interface

- Performed tests (Thermal Stress, Churn, Fiber, and Harness) on various F-22 CIP LRM modules (DDPE, DSPE, DPE 1553, DSPD, GBM, GWY, FNIU, DPI, NUCIF, DUCE and CBA) using Common Automated Test Stations and other test stations.- Worked on F-22 Web DB application using MS Visual Studio. Created Web API and ASP.NET web forms to access and update data via Microsoft Entity Framework. Used JavaScript, jQuery, LINQ and C# language.- Learned and worked on Jenkins, Jira, Agile. Automation of SBIT LOOPS test and 
ID the UNIT, log files & results emailed to users.- Worked on F-22 CIL Infrastructure DB. Debugged and updated MS Access database VBA code.