Fraud Prediction Model

In this project, I preprocessed a financial transactions dataset, conducted exploratory data analysis, and built a RandomForestClassifier model for fraud detection. I also analysed feature importances and reduced the number of features to simplify the model while maintaining performance.

Climate change tweets regional sentiment analysis

In this project I created a python program to scrape tweets containing a specified string ('climate change') in a designated time frame from specified regions, collected tweet data including geolocation. After cleaning an preprocessing the data, NLP methods were used to analyse regional sentiment.

Global Distribution of COVID-19 Vaccine Dashboard

Tableau dashboard created visualising a pre processed dataset of COVID 19 vaccine data, giving a simple overview of the distribution of the vaccine accros regions and countries, also showing a distribution by GDP per capita.

S&P 500 market price prediction model

Machine learning model using data from sp500 to predict whether price will go up or down on the day after a specified date.

UK Road Traffic Accidents - Data Processing and Dashboard

In this project i prepare 2 sets of data from the Department of Transport and visualise it in Tableau. One data set contains roughly 2 million rows on traffic accidents between 2005-2016, and the second dataset, linked by a key index, contains data on the vehicles involved in the accident.

NHS Scotland A&E Waiting-times and patient discharge destinations

In this project I extracted data from NHS Scotlands public online datasets on patient waiting times and destinations at all A&E and minor emergency units in all NHS Scotland locations. I then cleaned and processed the data in a Jupyter notebook preparing it for visualisation in Tableau.