Yu Fu Email & Phone Number

Salt Lake City, Utah, United States

• Developed and deployed Linear Regression, Random Forest, XGBoost, and Neural Network models using Python to analyze and optimize fuel efficiency metrics from PI System data, resulting in annual savings of over $500,000• Designed and implemented a comprehensive database in SQL Server, using SSMS for configuration and management, and developed a Power Apps application to streamline data maintenance processes, improving productivity by 40%• Successfully managed multiple concurrent projects, coordinating with cross-departmental teams, leading regular meetings, and demonstrating effective time management and leadership to complete projects ahead of schedule

• Utilized Multiple Linear Regression, LightGBM, and XGBoost models to analyze and predict factors affecting passenger boarding duration, optimizing the boarding process and reducing boarding time by 15%, which contributed to a 10% improvement in overall operational efficiency• Created dynamic Power BI dashboards to support business model optimization, leading to a 20% reduction in turnaround costs and enhancing decision-making processes• Validated hypotheses on the impact of boarding processes on aircraft turnaround times and departure delays by analyzing the correlation between boarding duration and off-block times, employing statistical methods to support strategic decision-making, resulting in a 12% decrease in departure delays

Los Angeles, California, United States

• Partnered with over 20 universities and companies to provide rich educational and industry resources to more than 100 students, successfully assisting them in securing their desired jobs and school admissions

• Optimized SQL queries and cleaning statements for personnel lists of over 100 companies, increasing query efficiency by 70% through advanced algorithms and nested statements• Assessed over 200,000 pieces of enterprise data using SQL for data integration and extraction, supporting more than 50% of daily operational tasks• Collaborated with project manager to design Excel pivot tables for presenting solutions to clients, directly contributing to the final contract and enhancing client decision-making processes

• Assisted the professor in managing and instructing over 200 students, providing support with coursework, grading assignments, and facilitating lab sessions to enhance student understanding and performance

• Synthesized evidence on tobacco control using NLP techniques, supporting research initiatives and enhancing data-driven insights• Utilized Excel and Python to identify, extract, and summarize data from over 50 published tobacco control papers, providing comprehensive data support to the research team and informing policy implications• Analyzed and cleaned over 20,000 data points using SQL and Python, presenting findings through pivot tables, which improved the research team's efficiency by 30%

• Led a project team to develop a new traffic warning system using Python, Excel, SQL, and machine learning models to analyze and predict traffic accidents from multiple databases, achieving a 35% improvement in prediction accuracy• Proposed two advanced deblurring frameworks using deep learning, enhancing image processing techniques, and co-authored and published "Image Deblurring with Image Blurring" in IEEE Transactions on Image Processing

Master Of Engineering - Meng, Data Science, 4.0/4.0

Bachelor Of Science - Bs, Computer Information Sciences, 3.76/4.0