•Led migration from Access to SQL, streamlining data storage and accessibility for improved efficiency.
•Utilized Python, including Pandas and NumPy, and Excel to automate data cleaning tasks.
•Implemented React components with clean, modular code to create a responsive and interactive user interface.
•Architected backend infrastructure utilizing Express.js and MySQL database for robust data handling and retrieval.
•Implemented caching mechanisms and query optimizations, leading to a 10% reduction in average query execution time and a notable enhancement in system scalability.