All work
Data Science
RAROC Simulation Engine
Customer Monte Carlo simulations moved from Excel into a Python-based computational workflow.
3–5 days5–7 min
Simulation processing time
Business problem
Customer Monte Carlo simulations performed through Excel required approximately 3–5 days per customer simulation.
Solution
- Helped transform the simulation process from Excel into a Python-based computational workflow.
Measurable impact
3–5 days → 5–7 min
Simulation processing time
Technical implementation
- Monte Carlo simulation logic reimplemented and automated in Python.
- Python
- Monte Carlo Simulation
- Automation
Source
Have a data problem that's taking too much time?
Whether it's a manual reporting process, disconnected data or an analytics bottleneck, I build systems that turn that complexity into something useful.