• Developed high-performance deep learning models with TensorFlow and PyTorch, achieving a 15% boost in accuracy for complex computer vision tasks. • Conducted data analytics using Python, MySQL, and Power BI, leading to a 20% improvement in model training efficiency. • Collaborated with cross-functional teams, implementing advanced solutions that enhanced model metrics by 20%.

• Enhanced RFP and RFQ identification processes, increasing response rates to targeted opportunities by 20%. • Drafted successful proposals and technical specifications, contributing to a 25% rise in closed deals.

• Conducted detailed market research on biomedical devices, contributing to a 15% boost in new product initiatives. • Conducted in-depth data analysis using SPSS, Excel, Power BI, and Python to identify performance improvement opportunities, leading to a 10% increase in biomedical device efficiency. • Authored technical documents, including user manuals and patents, elevating customer satisfaction by 20%.

• Created detailed spreadsheets on MS Excel to track program activities and streamline administrative tasks, resulting in a 20% increase in efficiency. • Conducted statistical analysis using charts and graphs for the yearbook, identifying key trends and insights that contributed to a 15% improvement in overall design. • Provided administrative support for over 10 program activities, ensuring a 95% on-time task completion rate and enhancing operational efficiency by 15%.