Huiyu Wu

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights.

   Scottish Public Health Project                                                   05/2023-07/2023 

• Investigated baby boomer impact on future healthcare demand in Scotland, forecasting hospital stay trends.
• Conducted thorough data cleaning, interpolation, and visualization using R, employing Gamma regression models with logarithmic links for analysis.
• Offered strategic insights for capacity planning and elderly care, contributing to enhanced decision-making in public health management.

Machine Learning in Hotel Cancellation Prediction Project    03/2023-05/2023

• Investigated hotel booking cancellation behavior for a large hotel operator by constructing a predictive machine learning model using Python.
• Performed exploratory data analysis and feature engineering, selecting a logistic regression model for its highest validation score after model fitting and tuning
• Identified key factors influencing cancellations, providing actionable recommendations for revenue optimization and cancellation anticipation.