Enterprise engagements, anonymized. The numbers are accurate — no rounding up, no invented logos.
“We're shutting down a legacy system. Nothing can break.”
Led impact assessment, dataset redesign, and migration across Salesforce, payment systems, and application processing at a major financial institution — coordinating engineering teams and 300+ analysts. Every report stayed functional throughout.
“Our team runs the same manual QA every quarter. It takes weeks.”
Python automation for risk-assessment QA, plus a separate Google Apps Script build that eliminated 50 hours a month of spreadsheet prep across banking teams. Both run without maintenance overhead.
“We're paying for software that's wrong too often.”
Time-series sensor analysis at a global mining company. A custom Python model outperformed the vendor’s linear regression by 30%. We also replaced manual Excel planning with Power BI + SQL Server — roughly 100 hours saved per quarter.