Replaced a slow, spreadsheet-based translation process with a self-service platform for contributors, managers, and reviewers.
Automated most setup and import work while supporting about 24 active contributors across 72 languages.
Turned a 17-table nonprofit dataset into a deployed platform for donor management, resident care, outreach, reporting, and machine-learning decision support.
Delivered a working application with secure workflows, connected reporting, and 13 predictive pipelines in four one-day sprints.
Designed a documented system that turns market and risk data into monthly ETF recommendations with checks and backtests.
Created a reproducible pipeline with ingest, features, decisioning, backtesting, ops, dashboard, and tests.