Case studies, left as they were written. They show the path I took, not the tidied-up version.
A B2B data platform for treasury teams at Automation Boutique: Python pipelines that collect and clean treasury data, a React dashboard on top, MongoDB and Docker on Azure. I've owned most of the technical execution since the first commit, deploys and onboarding included.
VBA macros that plug Xero's accounting API straight into Excel. I wrote the whole OAuth2 flow myself, including the part where Internet Explorer used to live.
An interactive Tableau dashboard on global energy use per capita: pick a country and a year, and see how it compares with 2021.
An Excel dashboard for tracking what customers owe, built on a real data model with VBA-generated reports. My PwC audit days picked the numbers it watches.
My Google Data Analytics capstone: 3.5 million Chicago bike-share trips cleaned up in PostgreSQL and taken apart in pandas.
The Tableau half of my Cyclistic capstone, so the marketing team can dig into rider behavior without touching my SQL.
Python scripts that scrape public Instagram profiles, store everything as JSON, and pick up where they left off after a rate limit knocks them down.
Spec flips a card for its role and tags.