Driver Injury Analysis & Prediction

This project demonstrates data preprocessing, feature engineering and machine learning using Python. I handled data cleaning, missing value imputation and categorical encoding with pandas, and built prediction models (logistic regression, decision trees) using scikit-learn before evaluating with cross-validation, confusion matrices and ROC curves.  

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The Effect of Covid-19 on Crime in Ireland

The project uses time-series analysis and data visualization techniques to analyse the effect of Covid-19 on crime rates in Ireland. Data was cleaned and preprocessed with pandas, addressing missing values and formatting issues. Key trends were explored through EDA, and a correlation analysis was performed to assess relationships between crime rates and factors such as lockdown periods and social restrictions. 

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Endoscopy Waiting Times in Irish Hospitals

This project conducts an exploratory data analysis (EDA) on a dataset of gastro-intestinal (GI) endoscopy waiting lists. Using pandas for data cleaning and preprocessing, the analysis identifies missing values, outliers, and distribution of key variables.  The analysis provides insights into the patterns of waiting times, highlighting potential areas for healthcare system improvements in managing endoscopy demand.

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