Python-focused developer with a growing foundation in data analysis & data science, and a strong interest in building and improving systems within administrative and operational environments. Known for coordinating execution, structuring workflows, and delivering results in practical settings. Approaches problems with a systems mindset, focusing on efficiency, organization, and process improvement. Currently developing skills in Python, most especially on data analysis & data science, with a long-term focus on building scalable, data-driven solutions.
Graduate with second class honours, upper division.
Python (NumPy, Pandas, Matplotlib, Seaborn)
MS Excel/Google Sheets, Power BI
Performed end-to-end exploratory data analysis on the Titanic dataset — cleaned missing data, visualised survival patterns by gender, age, and passenger class, and built a Random Forest classifier achieving ~82% accuracy on unseen test data.
Analysed multi-year retail sales data to identify top-performing products, seasonal trends, and regional profit distribution. Delivered findings in a structured visual report.