Skyline Hospital Time Series Forecasting with XGBoost
Conducted time series forecasting with XGBoost to forecast future patient arrivals for the outpatient unit of Skyline Hospital and Medical Center.

Conducted time series forecasting with XGBoost to forecast future patient arrivals for the outpatient unit of Skyline Hospital and Medical Center.
Used FRED API to pull economic data and explored about unemployment and participation rates in the USA.
A natural language processing (NLP) project using Python with NLTK, and Huggingface Roberta Transformers for sentiment analysis on Amazon food reviews.
Explored ticket sales data using SQL for querying, and Python for interactive data visualization.
Quantified students' mental health conditions and analyzed whether the length of stay in years contributed to depression in international students.
Utilized SQL to explore the transportation network in London, United Kingdom (UK).
Santa Maria, Bulacan