Dylan Lu Email & Phone Number

United States

North Carolina, United States

North Carolina, United States

• Provides administrative support for biweekly Assembly (50 attendees) and Committee meetings (15 attendees), streamlining decision-making, and plans for project GRUNCH to foster networking among graduate students
• Manages the GPSG office operations and coordinates student events with a focus on professionalism and engagement

• Capstone Project: An Ecosystem Diagnostic Analysis of the Sargasso Sea and Costa Rica Thermal Dome Courses:
• Principal of Machine Learning
• Deep Learning in Biomedical Engineering (Aduit)
• Predictive Modeling
• Algorithm and Data Structure (Audit)
• Hierarchical Modeling

North Carolina, United States

• Developed machine learning models (RFC, SVM) to predict cable testing failures, identifying 5 features for engineers to monitor, resulting in 80% true failure accuracy, enhancing the management effectiveness by 30%
• Implemented data cleaning pipelines for large-scale datasets of 12,000 reels with 1,000 meters of cable each, streamlining data preprocessing for model development and created dashboard of KPI for executives
• Applied SMOTE technique to address imbalanced classification, enhancing model performance by 10%
• Presented analytical results to the executive management for cross-function decision making

• Guided and supported graduate-level students in "Data Science for Business" by dedicating 3 weekly hours to answering their complex questions and ensuring their mastery of critical concepts

North Carolina, United States

• Developed and submitted an innovative research paper to the prestigious Annals of Applied Statistics, focusing on the application of a cutting-edge clustering technique, the Stochastic Block Model, to significantly.
• Applied clustering techniques to successfully identify early-stage schizophrenia patients among mentally ill patients
• Developed sophisticated algorithms to optimize the processing of 2,000 GB MRI imaging data on a computing cluster, achieving a significant 50-fold increase in efficiency, expediting data preparation for the clustering.
• Fostered teamwork and collaboration by presenting analytical results during bi-weekly team meetings, working closely with scientists to guarantee the seamless integration of domain expertise and statistical modeling

• Employed regression and random forest techniques to accurately predict product performance, leveraging Python and Excel for data analysis, resulting in data-driven insights and actionable recommendations for clients
• Managed sales data in a MySQL Oracle database, producing weekly KPI reports and offering revenue management insights, which informed the manager and helped the goal-setting process

Master'S Degree, Statistical Science

Activities and Societies: Basketball; Triathlon; Soccer; Badminton

Bachelor Of Science - Bs, Statistics (Second Major In Mathematics), Gpa: 3.7/4.0

Activities and Societies: Badminton Club; Go Club.• Dean’s List (All Semesters) • Tau Sigma National Honor Society