Python & Excel Data Cleanup / Automation Specialist
I build test-backed Python and Excel workflows for data cleanup, validation, reconciliation, and repeatable reporting. My approach emphasizes explicit business rules, formula checks, exception flags, and handoff documentation.
My portfolio examples are clearly labeled synthetic demonstrations rather than client projects. They include an Excel data-cleanup workflow, a form-to-Excel summary pipeline, and a projection tracker with formula test cases. I do not claim unsupported production deployments, years of consulting experience, or client business results.
I am completing an M.S. in Computer Application Technology at Capital Normal University and have algorithm-engineering internship experience involving data/rule analysis, experiments, and technical documentation. I prefer a small, platform-protected first milestone with written acceptance criteria and sanitized inputs.