Designed and implemented an inventory tracking system using Python and Django, enabling real-time monitoring of stock levels, reducing inventory discrepancies by one third
Developed custom inventory forecasting models using Python, Pandas, and Scikit-learn, improving stock replenishment accuracy and minimizing overstock issues by 25%
Integrated cloud databases, APIs, and a React.js interface for a scalable inventory system, enabling real-time insights across multiple locations
Engineered autonomous rovers as part of EPICS at ASU, an engineering club where students collaborate on real-world projects to develop innovative solutions in various fields
Designed a system to identify plants and apply pesticides with 90% accuracy, reducing chemical use by half, while coordinating with industry partners and agricultural experts to enhance efficiency
Implemented machine learning algorithms for real-time plant health monitoring, enhancing early disease detection by 70% and improving precision agriculture methods