All work
Government Operations·Apr 2025 – Feb 2026·Digital Platforms & Data Analyst · NutriHub
E-Commerce Pipeline & Monte Carlo Revenue Simulation
End-to-end fee, royalty, and order tracking pipeline cutting manual reporting by ~90%, with Monte Carlo simulation for revenue forecasting.
Designed and launched a live e-commerce platform carrying 100+ active products, owning the complete technical lifecycle from platform architecture through storefront configuration.
Architected a custom data pipeline to automate fee, royalty, and order reconciliation, reducing recurring manual reporting overhead by approximately 90%.
Built a probabilistic Monte Carlo simulation in Python to model complex post-launch revenue trajectories, supply chain cost fluctuations, and stochastic customer acquisition scenarios.
Execution Architecture
What was delivered
- Automated royalty, fee, and order reconciliation pipeline cutting manual work by ~90%
- Probabilistic Monte Carlo revenue projection model in Python
- End-to-end architecture and store configuration for 100+ product catalog