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I built a data validation solution to support the migration of a claims reporting platform from a legacy system to a modernised application, where ensuring output equivalence between systems was a critical requirement.
Fixed-width file parsing driven by a mapping document
Field-level comparison using a base file as reference
Excel validation report with:
Summary sheet
Field-specific worksheets highlighting mismatches
I would love feedback, suggestions, or ideas to improve this project. I would love to explore how AI can be integrated to this project to improve functionality.
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Hello Everyone,
I built a data validation solution to support the migration of a claims reporting platform from a legacy system to a modernised application, where ensuring output equivalence between systems was a critical requirement.
Live Demo: https://amumtaz-file-validator.streamlit.app/
Git Hub repo: https://github.com/aiman-mumtaz/file-validator
Tech Stack:
Python, Streamlit, OpenPyXL
Features:
I would love feedback, suggestions, or ideas to improve this project. I would love to explore how AI can be integrated to this project to improve functionality.
Also open to collaboration!
Thanks,
Aiman
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