Nayma Islam

Ensuring the precision and efficiency of algorithms that assess customer interactions across diverse touchpoints is part of the responsibility. - Developed end-to-end automated data ingestion system for Customer Journey analytics platform, processing multiple file formats daily - Implemented a file scanner with automated routing based on destination requirements - Created a multiprocessing architecture for parallel file ingestion, significantly reducing manual testing - Built an automated validation framewo

I have gained valuable hands-on experience in manual testing and had the opportunity to explore various incredible tools such as Postman, AWS instances (S3 storage, EC2), FileZilla, and Grafana. Interestingly, the project I am currently working on goes beyond the typical responsibilities of a QA engineer. It involves aspects of data engineering, making testing an integral part of my role. This unique combination of tasks places me in a dynamic position, bridging the gap between traditional QA and data engin

Key responsibilities • Writing test cases for various product features. • Conducting basic load and stress tests using JMeter. • Building Key Quality Indicators (KQIs) report based on product requirements. • Writing database queries to debug and troubleshoot issues. • Generating weekly reports using Firebase for sessions and crash analytics. • Monitoring and analyzing reach and overview metrics through Google Play Console

Currently focused on leveraging Natural Language Processing (NLP) and intelligent workflow automation to transform unstructured clinical inputs into actionable system tasks.