Production

Banking Process Automation Suite

Universalbank

⚡Routine reporting and data-processing tasks ate significant manual effort and were error-prone when done by hand at volume.

⚠️The supporting database had grown bloated, slowing queries and inflating storage and maintenance cost.

⚙️Built Python automation for the repetitive pipelines and processed large datasets with SQL, Pandas, and Excel integration.

🛡️Restructured the database - cutting its size by 50% and improving overall system efficiency and query speed.

🚀Delivered work ahead of deadline, reduced operating costs by ~20%, and generated $50,000+ in annual savings for the branch.

↳ Automated bank processes saving $50,000+/year - costs cut ~20% - database footprint reduced 50% with higher system efficiency

Process AutomationPythonSQLData PipelinesCost OptimizationPandas