Results-oriented individual with a passion for continuous learning and innovation. Known for leveraging analytical thinking and creativity to solve problems and deliver high-impact solutions in fast-paced environments. Eager to apply analytical and problem-solving skills to drive operational excellence in manufacturing and production environments.
Analysis of Quoting Process at LS Industries, 01/2025, Present, Analyzing the existing quoting process at LS Industries using a systems engineering approach to identify inefficiencies and process bottlenecks., Developing process flow diagrams and mapping system interactions to understand dependencies and decision points., Evaluating potential digital transformation strategies to improve accuracy, efficiency, and standardization in cost estimation.
Cross-Organ Bridge Transfer Learning for Lung Cancer Detection
Proposed a transfer learning approach using 8,700 kidney ultrasound and CT images to improve classification of 1,700 lung CT scans., Developed a deep learning model based on VGG19, achieving 90% accuracy in lung cancer detection., Introduced modality-bridge transfer learning to address dataset limitations in medical imaging., Demonstrated the effectiveness of cross-organ transfer learning in improving classification accuracy.