About Me
Here I discuss my approach to work, as well as my interests in data.
I'm Luke - a data analyst with a background in psychology.
I focus on turning data into clear, actionable organisational insights.
I take a data-grounded approach to support process improvements and operational strategies. Approaching problems from a pragmatic lens, I aim to investigate and uncover efficient, evidence-based solutions.
I have always had an interest in data analysis, the way in which facts can be woven into information to tell a story. Throughout the course of my bachelor's and master's degrees, I have come to appreciate how data is measured, interpreted, and used to inform decisions.
My time working and studying at university has also taught me much about statistics, research methodologies, and critical thinking. This has equipped me to approach challenges more effectively, and deepened my understanding of data analysis.
I am always looking to deepen my understanding of data analysis, learn new analytical methods, and build on my current skills.
Skills
Microsoft Excel and Power BI
lookups, Power Query, pivot tables, data visualisation, DAX, and formatting.
Python
Pandas, Seaborn, Matplolib, Statsmodels, sci-kit learn, SciPy, NumPy, and Plotly.
Databases
MySQL, DBeaver, PostgreSQL ERP systems, Excel, and DBeaver.
Coding IDEs
VS Code, and JupyterLab.