Boston, Massachusetts, United States
Developed and Automated a Python Web Application: Engineered a custom Python application using the Flask framework for bridge inspection reporting. Hosted on AWS EC2, the application utilized MySQL for database management, significantly automating the reporting process to reduce manual efforts and enhance consistency.
Enhanced User Functionality and Efficiency: Integrated NLP tools to refine search capabilities, enabling swift and accurate data retrieval. Improved user interaction by facilitating seamless import of data from Excel, enhancing both input efficiency and data accuracy.
Robust Application Deployment on AWS EC2: Deployed the application on AWS EC2, ensuring secure and scalable web access for the civil department. This move eliminated the need for local installations and supported the department’s scalability needs.
Cost and Time Efficiency Improvements: Streamlined operations resulted in a 50% reduction in manual workload and a 40% decrease in reporting time. Additionally, the implementation of a new ERP system drove significant cost savings, yielding $150k through improved operational efficiencies.