Divya Tejaswini

Background

About Divya Tejaswini

Experienced QA professional with over 9 years in software testing and 3 years of parallel involvement in AI and machine learning initiatives. Specialized in healthcare domain projects, with a strong focus on claims validation, EDI testing, and backend data verification using SQL. Alongside core QA responsibilities, I have worked on Python and machine learning concepts to build small projects. My experience includes exploring supervised learning, data preprocessing, and model evaluation as part of learning initiatives. Certified in Microsoft Azure AI-900, I am keen on gradually applying these skills to enhance testing processes and support innovative solutions. Key Skills • QA and Testing: Manual, Functional, Regression, UAT • Domain Expertise: Healthcare (EDI, Claims, HIPAA), Facets • Tools and Platforms: SQL, JIRA, SOAP UI, GitHub, MongoDB, Power BI, Tableau • Machine Learning: Supervised and Unsupervised Learning, Prompt Engineering, Model Validation • Programming: Python, Google Colab, Jupyter Notebooks • Applied AI Concepts: OCR with NLP projects, Intelligent QA Automation Certifications • Microsoft Azure AI-900 (Fundamentals of AI on the Cloud) • IABAC Certified in Artificial Intelligence and Data Science • AHM250 (U.S. Healthcare Compliance and Claims) • Agile Scrum and Manual Testing Certified Internship and Projects • Internship at Rubixe working on ML model building, NLP, and data processing • Parallel project on automated Q&A generation from images using OCR and NLP • Current focus on applying ML techniques to optimize and validate healthcare test workflows Exploring Opportunities In • Applied AI and ML in Healthcare, InsurTech, and Compliance • ML QA and Model Validation • AI-driven Test Automation • ML Ops and AI Governance I am currently exploring opportunities overseas where I can contribute to innovative AI and machine learning projects and continue growing in a globally collaborative environment :)