Kevin Bui

Led a cross-functional team of 12 in building a YOLOv8-based vehicle classification system, processing over 10,000 client traffic images and boosting classification accuracy by 30% to support smarter urban traffic analysis. Managed 120+ hours of video annotation and streamlined model evaluation workflows, reducing development time and enhancing performance. Mentored and guided 30+ students and peers with tutorials, code examples, and internal tools, improving team efficiency by 40% and ensuring 100% on-time project delivery. Earned 1st Place at Innofes 2024 and Best AI Solution at Deakin Burwood Campus for impactful technical execution and leadership.

Analyzed 30+ real-world banking datasets focusing on customer behavior, loan eligibility, and financial trends to develop predictive models improving decision-making. Built and automated SAS workflows for data cleaning, feature engineering, and statistical analysis, reducing loan misclassification rates by 35%. Presented findings at national meetings with 100+ consultants and senior directors to align on targets and review outcomes.

Enhanced data visualization and import operations using Power BI and SQL, improving tracking accuracy by 25%. Developed automated reports and dashboards, cutting report generation time by 50% and providing real-time client insights. Collaborated with over 50 staff across branches to review data entry and business processes, ensuring data assurance, consistency, and integrity.