The full list. Every project is built around a real business question and real data, and each links to its complete case study.
Personal projects rooted in my studies. Each one takes a dataset, brief, or concept from my IT degree or data bootcamp and carries it further with real data and my own analysis.
Playing data analyst for the Celtics: shooting, playmaking, roster age, and winning without Tatum, answered in Tableau on 2025-26 data.
Read the case study →Employee attrition in R: three noise columns caught early, a statistically valid wrong answer from testing an ID number, and pay explained to 90.5% by job level.
Read the case study →Six months of iron ore flotation data in pandas: a hidden 13-day recording gap, two measurement rates in one table, and a reagent that appears to chase impurity instead of preventing it.
Read the case study →Analyzed 101,766 hospital encounters and found the 21% of stays lasting 7+ days consumed 43.5% of all bed-days, using CTEs, window functions, and multi-table JOINs.
Read the case study →Analyzed World Bank IDA lending across eras, sectors, and individual projects in MySQL, turning a broad geopolitical funding story into a structured analysis of 11,171 records.
Read the case study →Interactive dashboard analyzing dropout patterns across 1,861 schools, identifying 37 critical schools and a strong relationship with economic disadvantage.
Read the case study →Found income explains 67% of spending variation, and that discount-heavy campaigns underperform for high-value segments.
Read the case study →Self-directed builds driven by curiosity rather than a syllabus: larger, open-ended, and engineered end to end.
A provider-agnostic BI platform that models the global orbital launch market and benchmarks any vehicle against the field. Built in the open, with a running build log.
Follow the build →