Crime is one of the biggest problems faced by countries and negatively impacts society and the economy. Numerous studies have been carried to identify the causes of crime rate in London.
This project aims to recognise whether crimes in London sourced from Kaggle(Kaggle.com) are linked to unemployment sourced from (data.london.gov.uk), homelessness sourced from (data.london.gov.uk) as well as employees earning below the living wage in London sourced from (data.london.gov.uk).
To achieve this, machine learning and data mining models like regression analysis, classification analysis, association rule learning and clustering analysis are used.
Final year student specialising in Data Analytics in National College of Ireland.
Strong in designing relational database and MySQL and experience in Python as well as R using RStudio and Jupyter.
Teamwork skills developed through college projects and work experience.
Completed seven months of work experience in SAP Limited Ireland working as a support engineer, analysing incidents, researching and providing solutions to customers.
Also responsible for troubleshooting complex problems and providing the best available solution or workaround within the agreed service levels.
Successfully completed WIPS, USAPTEC, ABAP courses and obtained a certificate for each course.