At La Nación, I automated a recurring publishing workflow, replacing its multi-step upload process with a single re-run. I also organized more than 2,000 unstructured service categories into a documented taxonomy and built a workflow to flag new uncategorized types.
I led an end-to-end product build across three teams, from data pipeline and analysis through to a published interactive experience. I also reverse-engineered a government mapping backend to load roughly 32,000 records into the team data warehouse for colleagues to reuse.
While reviewing a colleague’s geospatial pipeline, I found and corrected a coordinate-projection error affecting approximately 221,000 records, validating the fix against an independent source. At ITBA, I led data-management tutorials and mentored project teams through database design.
I’m completing a Data Science degree at ITBA. For a course project, I built a Python pipeline to load and clean 40M+ NYC service requests into PostgreSQL, then created a Next.js dashboard for exploring service-demand trends.
