Ibraheem User

I’m a Product Analyst who builds and owns data products that teams can use daily. At Prune Payments, I created an automated SQL + Power BI reporting suite, cutting manual reporting by 35% while improving speed and confidence in data-driven decisions.

I focus on KPI ownership and experimentation impact. I designed and maintained core onboarding and operational KPIs (including onboarding conversion, drop-offs, and risk review outcomes), improving end-to-end onboarding conversion by 10% and using performance patterns to influence roadmap sequencing. I also supported A/B testing, where my analysis helped increase verified-user completion by 8%.

Before that, I served as a Data Analyst delivering funnel and cohort insights with advanced SQL. At Leatherback LTD, I contributed to a 15% reduction in early-stage churn, produced weekly performance reporting for product leadership across 10+ markets, and acted as the primary data contact for senior stakeholders across product, finance, and operations.

My foundation is backed by a Master of Science in Data Science and hands-on ML work. I’ve built predictive models for university ranking outcomes using Python and scikit-learn (achieving strong performance with Gradient Boosting, R2 = 0.90), and I also lead applied learning by running Python, Power BI, and Machine Learning workshops for 100+ students as Vice President of the Data & AI Society.