Pasuta Khamphaenchai
Business & Economics at Lancaster University
Business analyst, Business & Economics at Lancaster University. Analyzed marketing spend to identify sales drivers and optimize budget allocation. Identified churn behaviors and recommended strategies to improve customer retention.
Work by Pasuta Khamphaenchai
- Statistics & Regression Modelling - Hotel Demand Forecasting
- Built, compared, and optimised regression models to predict hotel bookings. - Conducted through diagnostic checks - Interpreted model results
- Customer Churn Predictive Modelling (RStudio)
- Built Logistic regression, Lasso, Elastic Net, Ridge, Bagging, and Random Forest models. - Used 10 fold cross-validation, ROC, and AUC for performance evaluation.
- Exploratory Data Analysis for Predicting Churn
Conducted EDA and feature engineering on telecom churn dataset.