Rich Justine Gambe

I’m a Data Analyst building end-to-end analytics work with Python, SQL, and Tableau—backed by 6 portfolio projects. My focus is turning messy data into clear decisions, from segmentation and cohort retention to fraud detection and B2B funnel performance.

In my largest project, I analysed 34,500 transactions and built an analytics pipeline covering sales forecasting, customer segmentation, churn prediction, fraud detection, and cohort retention. I identified a High-Value at Risk segment that drove 24.7% of total revenue, built a production-grade fraud detection workflow, and quantified a $39,384 annual revenue opportunity from onboarding retention improvements.

I also combine statistical methods with practical business questions. For example, I merged 60 years of oil market data into analysis-ready datasets, tested policy effectiveness, and ran lag correlation to understand how supply-demand balance predicts price direction within 1 month.

Beyond analytics, I bring a communication-first mindset shaped by my Licensed Professional Teacher (LPT) background. I’m open to remote junior to mid-level Data Analyst and Data Scientist roles where I can deliver reliable insights and communicate them in a way stakeholders can act on.