Selected Case Studies.

Designed and implemented a relational database system for a local retail business to track inventory levels in real-time. Created normalized SQL schemas with proper indexing for optimal query performance. Developed automated low-stock alert notifications using Python scripts that email managers when inventory falls below threshold levels. The system reduced manual stock counts by 80% and improved order accuracy.

Conducted comprehensive requirements analysis and usability study to improve NJIT's student portal interface. Conducted user interviews with 25+ students and faculty to identify pain points in current workflows. Created detailed user journey maps, process flow diagrams, and wireframes highlighting inefficiencies. Documented findings with actionable recommendations for improving navigation, reducing click-through paths by 40%, and enhancing accessibility. Report presented to NJIT IT stakeholders with implementation prioritization.

Built a responsive, interactive dashboard using HTML5, CSS3, and vanilla JavaScript to visualize sales trends and customer demographics from a mock e-commerce dataset. Implemented dynamic charts using Chart.js displaying real-time sales metrics, top products, and customer insights. Created mobile-responsive layout ensuring optimal viewing on all devices. Dashboard features include date range filtering, exportable reports, and drill-down analytics. Demonstrates proficiency in front-end development and data visualization techniques.