Skilled in SQL (e.g. Microsoft SQL Server, MySQL, SQLite, PostgreSQL) Data analysis (e.g. Pandas, Numpy, Scikit-learn, ScyPy, Matplotlib, Seaborn) Data visualisation (e.g. ArcGIS, Tableau, Matplotlib, Seaborn, Folium) Web Scraping (BeautifulSoup), Machine Learning (e.g. Classification, Clustering etc.), Keen interest in Data Science -- Machine learning, Big Data and AI. Web scraping previous work: Writing Python scripts for web scraping NHS surgeon-specific data from the Care Quality Commission website to be used in a research paper about Socioeconomic Inequalities in mortality following surgery for colorectal cancer. Data analytics previous work: Explore, segment and cluster the neighbourhoods of Toronto using Python (Pandas, Folium, matplotlib, scikitlearn) on IBM Cloud/Jupyter Notebooks