Data Analyst — turning messy data into decisions people trust
Data analyst with 4+ years turning raw, messy datasets into dashboards and models teams actually use. I live in SQL and Python for the wrangling, Power BI and Tableau for the storytelling, and I care a little too much about clean, reproducible pipelines. Past work in e-commerce and fintech: cutting churn, forecasting revenue, and helping people stop deciding by gut.
Skill growth
4
projects so far
13
tools used
1 more project to unlock the skill map.
Selected work
Can the whole team read retail sales performance performance from a single screen?
What would a rigorous second look at customer churn & actually uncover?
How do you turn messy marketing data (elt) sources into one dependable feed?
What's the fastest way to let anyone explore revenue & seasonality for themselves?