EMMANUEL OBUTE

I’m a data analyst with an MSc in Big Data & Business Intelligence and a hands-on project portfolio focused on turning large, messy datasets into clean, well-documented, decision-ready insight. I’m methodical and detail-oriented, especially when cleaning and validating 100,000+ record datasets so the results are trustworthy and reproducible.

In my projects, I build interactive dashboards and BI reports in Power BI and communicate findings clearly to both technical and non-technical audiences. For example, I cleaned and validated 100,927 UK road-collision records, then extended the analysis by incorporating official traffic-volume data to calculate accidents per mile driven—highlighting risk patterns beyond raw frequency.

I also work with Python (pandas) and SQL to query, explore, and validate data, using Excel for pivot tables, charts, and analysis support. I’m keen to apply these strengths to property and mortgage data in a respected prop-tech team, while owning ambiguous, open-ended problems and continuously improving the way insights are documented and delivered.