Enhancing Efficiency of Food Delivery During Severe Rainfall in Singapore

Address challenges faced by a food delivery app due to frequent rainfall in Singapore, as reported by the operations team. The goal is to analyze data provided by the operations team and develop strategies to improve service during adverse weather conditions. Comprehensive Data Exploratory Analysis.

Land and House Property Land Pitching

According to property company (Land and House Co., Ltd.), company would like to know the property price in in Bangkok and around Bangkok (urban area such as Samut Prakan and Nonthaburi) to make further research and development in property that can help company to survey house pricing.

Natural Language Processing (NLP) on Garmin and Apple Watch Reddit

To use advanced NLP for classifying on subreddit post: This project focus on social voice of customers what they mentioned on Garmin post and Apple Watch post by leveraging Natural Language Processing (NLP) to classify subreddit posts.

Machine Learning Prediction of West Nile Virus in Chicago

This project focus on presence of the West Nile virus and derive the best approach from dataset and developed predictive models. The model can support cost and benefit analysis that the Chicago Department of Public Health can manage cost from pesticide, mosquito trap, and medicine.

Capstone: Factors Influenced Gold Price Trend Prediction

Conducted a comprehensive investigation into the correlation between gold prices and various potential influencing factors, including oil prices, stock indices, exchange rates, and other relevant economic indicators.