• Manufactured a classification model using Python to anticipate the buy probability of a car model for customer, and interpreted the features that highly influence the purchase of a car, which resulted in 16% profit• Managed software integration testing team for multinational accounts worth 10 Million (Panasonic USA, Panasonic Japan)• Planned, scheduled and managed deliverables deadline in coordination and alignment with the onsite team. Communicated with client as single point of contact for requirement gathering and planned release of the software• Published customized interactive reports and dashboards depicting different state of software defects to engage business partners on key metrics for decision making. Developed shell script to automate testing which increased efficiency by 3% • Monitored bug tracking, issue tracking using JIRA and assigned open defects for defect triaging. Added around 20 test cases in all modules to the existing testing suite based on new features, specifications and requirements for Ford Automotive Infotainment System

• Performed software integration testing, black box testing, sanity testing, smoke testing, boundary value testing, KPI testing and found 200 plus defects to ensure stability of system. Additionally, involved in debugging at software level• In depth QA testing and validation of complex software system utilizing QNX Momentics, RTC. Tested 6 plus automotive infotainment features like Multimedia, Networking, Audio, Voice Recognition (VR) among other