🚀 Data Analyst | Machine Learning Enthusiast | Health Analytics Researcher
I analyze data to uncover patterns in healthcare, environment, and policy — turning complex datasets into actionable insights.
📊 Lung Cancer & Pollution in Canada (Under Publication)
Comprehensive data-driven analysis using machine learning and epidemiological modeling to examine long-term pollutant exposure and lung cancer incidence trends across Canadian provinces.
(Repository private while under publication review)
🏛️ Understanding Long-Term ODSP Reliance Across Ontario CMAs (2003–2024)
A Policy-Focused Data Analysis & Forecasting Project Using R
🏥 Predicting and Interpreting ED Length of Stay
Machine learning approach to predict emergency department wait times and interpret feature importance for hospital resource optimization.
⚡ Decoding Energy Consumption
Machine learning and deep learning ensemble models to forecast energy consumption at the East Melbourne WWTP, enhanced with SHAP-based interpretability.
🌍 Social Determinants of Health & Chronic Disease (Collaborative project)
Global analysis using XGBoost and SHAP to uncover how social determinants shape chronic disease patterns across countries.
View summary
👉 See more in my Portfolio Repository
📘 Deep Learning Insights into Social Determinants of Chronic Disease and Longevity
STEM Fellowship Journal, 2025
DOI: 10.48448/wa2f-7j45
Explore my interactive visualizations on Tableau Public:
🔗 Visit my Tableau Portfolio
Languages & Tools: Python · R · SQL · Tableau · Git · Big Data Technologies
Core Skills: Machine Learning · Deep Learning · NLP · Epidemiological Modeling · SHAP Interpretability