I'm Getrude Preko — a data analyst with hands on experience turning messy datasets into dashboards, models, and stories that drive meaningful outcomes.
Built an end-to-end churn prediction pipeline for a 200K-customer retail brand. Achieved 87% recall, enabling proactive retention campaigns that reduced churn by 19%.
Designed a real-time Tableau dashboard suite consolidating data from 6 sources, replacing 14 hours/week of manual reporting and serving 35 stakeholders daily.
Analysed appointment and staffing data for an NHS trust to identify bottlenecks. Recommendations reduced average wait time by 23 minutes across 4 outpatient departments.
Standardised experimentation analysis across a £50M e-commerce platform, implementing Bayesian A/B testing to improve decision-making speed by 3×.
Replaced last-click attribution with a data-driven Markov chain model across 8 digital channels, revealing that 34% of budget was misallocated.
Built a time-series forecasting system using Prophet and SARIMA, reducing overstock costs by £2.1M annually across a 3,000 SKU catalogue.
Leading analytics for three client verticals (retail, finance, healthcare). Mentoring two junior analysts, setting data quality standards, and owning the end-to-end delivery of insight products for C-suite stakeholders.
Owned the analytics function for a £50M e-commerce platform. Built the company's first self-serve BI environment and migrated reporting from Excel to Tableau, saving 20+ hours per week across the team.
Supported campaign performance reporting and audience segmentation for a digital marketing agency. Developed proficiency in SQL, Python, and Google Analytics across 15+ client accounts.
First Class Honours. Dissertation on time-series anomaly detection in financial markets. Relevant coursework in probability, linear models, and computational statistics.
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Whether you need analytical horsepower for a project, a dashboard that actually gets used, or just want to talk data, my inbox is open.
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