At VentureDive, I built a walk-forward forecasting system for a 150-clinic healthcare network, projecting visits, revenue, and EBITDA. Across 31 months of backtests, month-end visit forecasts had under 1% network error.
I also built a clinical-documentation analytics pipeline that surfaced 33.9K under-coded dermatology visits worth about $0.9M in a single half-year. For a microfinance lender, I rebuilt the credit-risk model and grew the auto-approval pool from 79.8% to 92.8%.
Earlier, at VentureDive, I developed an LLM-powered vehicle specification mapping pipeline that reached about 93% accuracy. At Algomus Inc., I worked on GPT-powered applications and delivered AI products to Microsoft, Best Buy, and Meta; at Quantum Intelligence, I built an Urdu OCR system with YOLOv4 detection achieving 96.07% mAP@0.50.
