General resume template

• Developed and maintained Python backend features for a SaaS dashboard, supporting account settings, notification preferences, and admin reporting workflows.
• Built REST API endpoints with Django REST Framework and PostgreSQL, improving response consistency and reducing duplicate validation logic by 25%.
• Wrote unit tests with Pytest for service-layer functions, increasing backend test coverage from 58% to 76% within two release cycles.
• Collaborated with senior engineers in Agile sprints, reviewing pull requests and resolving 20+ Jira tickets across bug fixes and enhancements.

• Created Python scripts to automate CSV cleanup, file renaming, and weekly reporting tasks, saving operations staff approximately 6 hours weekly.
• Updated Flask application routes and templates for internal tools, improving form validation and reducing user-submitted errors by 18%.
• Queried MySQL databases to troubleshoot data discrepancies, prepare client reports, and support migration testing for 12 customer accounts.
• Used Git branches and pull requests for code changes, helping standardize development workflow across a five-person technical team.

• Built a Django-based task management application with user authentication, CRUD workflows, and PostgreSQL models supporting 200 sample records.
• Added Pytest coverage for core views and models, reaching 82% test coverage and reducing regression issues during feature updates.
• Containerized the application with Docker and documented setup steps, cutting local onboarding time from 45 minutes to under 15 minutes.

• Created a Python ETL script using Pandas and SQLAlchemy to clean, validate, and load 10,000 customer transaction records.
• Implemented exception handling, logging, and duplicate checks, improving data import accuracy and reducing failed loads by 30%.

Completed software engineering, database systems, data structures, algorithms, and web application development coursework with team-based Python projects.