Lawrence Karongo

I've worked as a Business Intelligence Engineer at Amazon for the last 3.5 years, specializing in data-driven decision-making and analytical product development. With a background in policy analysis and applied economics, I bring a unique perspective to data work—combining technical rigor with strategic thinking.

My expertise spans the full data lifecycle: from building production ETL pipelines in AWS (Glue, Athena, Redshift) to conducting experimental analysis and causal inference, to creating executive-facing dashboards that drive millions in business impact.

This platform showcases my weekly deep-dives into data problems, techniques, and insights. Each analysis demonstrates real-world applications of statistical methods, machine learning, and visualization best practices.