Developed robust, full-stack Microsoft .NET application extracting project budgeting data from SQL Server in < 1 second; optimized server-side processing for data analyses enabling seamless access for 500+ employees
Automated data base operations, increasing operational efficiency by 20% through 200+ CRUD operations, 20 triggers, and 10 procedures
Streamlined analysis for 1000+ Superbowl 58 network KPIs against industry rivals by implementing a data extraction and Python visualization script, reducing computation time by 50%
Conducted code reviews, browser tests and frequent pairing sessions to ensure code quality
Selected as panelist to mentor incoming interns, sharing technical expertise and career guidance to support next-generation talent development