(1) Korean government Covid-19 response:

• This analytics project explores a Covid-19 dataset made available by the Korean CDC and local governments and ultimately tells the story of how policies and strategies that the government implemented may explain trends in cases and deaths.
• Tools: EDA, visualisations, python (pandas, numpy, matplotlib, seaborn, plotly)

(2) Predicting European football match outcomes:

• This machine learning project explores how machine learning might provide a competitive advantage in sports betting.
• Tools: SQL, python (statsmodels, scikit-learn, plotly, matplotlib, seaborn, etc), dashboards

(3) Predicting loan default risk:

• This machine learning project predicts loans at risk for defaulting.
• Tools: python (scikit-learn, matplotlib, seaborn)