Latest Work
Telco Customer Churn Prediction
Developed a comprehensive machine learning model with a random forest algorithm to predict customer churn for a telecommunications company.
Achieved an F2 score of 76.48%, indicating a strong ability to accurately predict which customers are likely to churn.
See ProjectAirbnb Bangkok: Tomorrowland 2026 Potential Analysis
Conducted a detailed analysis using Airbnb Bangkok listings data to explore the potential and
challenges related to Tomorrowland 2026 in Bangkok. Provided data-driven recommendations to optimize accommodation strategies and enhance
visitor experience during the event.
See ProjectSuperstore: A CRUD Application
Developed a CRUD (Create, Read, Update, Delete) application using Python. Designed to manage data operations within a superstore environment, including product,
employee, customer, and order management.
Implemented responsive front-end design and back-end functionality for intuitive user
interaction.
See ProjectFantasy Team by Vidio
Redesign Fantasy Team’s User Interface and Experience to improve attractiveness, efficiency, perspecuity, dependability, stimulation and novelty. Click the button down below to see the prototype.
See Project
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