• QA professional with 4 years of experience in Software test engineer Manual and Automation Testing.• Working as Software Test Engineer in cigniti technologies.• Worked on Agile project management tool JIRA.• Worked on API testing using python and postman tool.• Ability to produce deliverables on time, Defect Management and Test Management activities. • Ability to deal with critical defects or defect management. • Ability to deal with situations when the project in critical or nearing deadline. • Ability to work independently as well as with the team. Ability to prioritize work when• Extensive experience in System, Functional, Regression, Re-Testing and Sanity Testing.• Worked on ETL Testing and knowledge on snowflake database and SQL and Cassandra database.• Worked on Machine Learning and AWS, Python.• Knowledge on selenium Web diver using java.• Web Service Testing using postman tool.• Mobile manual testing.• Testing experience on Oracle CC&B (Customer Care & Billing) Utilities application for 1 year – ADDC Project (Raqmiyat -Abu Dhabi clientPROJECT 2:• Here we validated Imagblur/PPLID, FDOBU and Contamination mode both residential and commercial LOB Image quality and PPLID model.• Image blur/PPLID:Develop a machine learning model to identify humans in videos /images and blur the faces only not blur humans if they cover faces with mask and cap.• FDOBU: Request cloud admin to put the images, it will push into the ocs stream. It will go through ocs categorized of the 7 folders.• Contamination model: smart truck->media url (events)->indico+3rd eye application->ml priority is determined by indico and for contamination incidents if ML priority=1 then incidents will be sent to EADM system.• Contamination will have 3 ranking where rank 1 is not contaminated and rank 3 is contaminated.• ML Implementation:ML=1 not contaminated; events enter EADM for further reviewML=2 semi-contaminated and sent to auditors for review.ML=3 standard contamination

software test engineer