Questions, datasets, and the work in between. A collection of analytics and data engineering projects, with the code and methodology open on GitHub.
Five years of simulated SaaS data. Revenue forecasting, churn prediction, and customer clustering — with an emphasis on finding and fixing data leakage.
An end-to-end exploration of financial performance and customer behavior, paired with a five-page Power BI dashboard.
An analysis of 10,000 retail orders, connecting RFM segmentation, customer lifetime value, and cohort retention to practical business recommendations.
From customer behavior to targeted win-back campaigns: making the analysis useful beyond the notebook.
Raw e-commerce data transformed into a star schema: one fact table, four dimensions, a validated ETL pipeline, and a connected BI dashboard.
A foundation for reliable reporting, with window functions, pivot queries, and row-count validation.
A bank-style fund transfer system that tests atomicity, consistency, isolation, and durability through concurrent transaction experiments.
A focused demonstration of the database guarantees that keep financial transactions reliable.