About
Computer Science & Engineering (Data Science) undergraduate with 8.64 CGPA and hands-on internship experience in application testing, debugging, issue investigation, REST APIs, data validation, and software development. Experienced in identifying application issues, validating expected behavior, documenting findings, and working with development teams to resolve problems. Skilled in Python, SQL, Git, Linux, API testing, integration testing, regression testing, and Agile/SDLC with strong analytical and problem-solving abilities.
Experience
Education
Projects
Health & Welfare Benefits & Claims Intelligence Platform
Designed structured benefits and claims workflows using domain modelling, data validation, ETL, and data warehousing concepts. Applied data governance practices covering data quality, consistency, validation, and controlled data handling across workflows. Developed testing workflows using PyTest to validate application and data-processing components.
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End-to-End Machine Learning Application
Built an end-to-end application covering data processing, model evaluation, REST API development, deployment, and CI/CD. Used Docker, AWS, and GitHub Actions to containerize, deploy, and automate application workflows.
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Scalable Multi-Tenant SaaS Boilerplate
Developed a scalable application foundation with multi-tenancy, RBAC, rate limiting, background queues, and API workflows. Focused on application reliability through structured access control, request handling, and load-testing workflows.
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