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