Sciences at Teesside University
I am an MSc Applied Data Science student with strong interests in analytics, consulting, and problem-solving. I enjoy working with messy datasets, building clear analytical outputs, and translating complex findings into insights that support decision-making. I am particularly interested in client-facing analytics roles where data is used to drive real-world impact.
Conducted exploratory data analysis on large-scale sports performance data and built classification models to evaluate high-impact player performance. Assessed models using ROC-AUC and cross-validation, and translated results into clear analytical insights.
Built a Python-based analytics application using SQL (SQLite) to clean, query, and analyse structured datasets. Automated analytical reporting, created visualisations to identify trends and variability, and integrated a public API to ingest new data while maintaining data integrity.
Developed an executive-level Power BI dashboard analysing global sales, revenue, and electric vehicle adoption. Built a star-schema data model, created DAX measures for KPIs and growth analysis, and used AI-driven analytics to identify key drivers of performance. Focused on translating insights…