Industrial Engineering student focused on operations research, analytics, data science, and product engineering. I enjoy turning mathematical models and complex datasets into reproducible tools that people can actually use.
- Mathematical optimization and facilities planning
- Business intelligence and evidence-backed analytics
- Simulation, portfolio risk, and decision-support systems
- Accessible, bilingual data products
| Project | What it demonstrates |
|---|---|
| Zarin Pulse · Live demo | Traceable merchant analytics with Next.js, FastAPI, DuckDB, deterministic metrics, and evidence-grounded AI explanations |
| GAMS Optimization Portfolio | LP, MILP, NLP, MINLP, cutting-stock, and facility-location modeling with clear licensing boundaries |
| Portfolio Risk Management | TSE data preparation, risk measures, CDaR, correlation analysis, and Riskfolio optimization |
| Facilities Planning Algorithms | A tested Python implementation of CRAFT flow-distance optimization |
| MAL Eternal · Live demo | A bilingual achievement command center with Solar Hijri/Gregorian timelines and analytics |
| ShirazGo · Live site | A responsive English/Persian metro journey planner with RTL support |
- Modeling and analytics: Python, GAMS, pandas, NumPy, Jupyter, DuckDB, Riskfolio, operations-research methods
- Product engineering: TypeScript, React, Next.js, FastAPI, Vite, Cloudflare Workers/D1, Render
- Quality: automated tests, CI, reproducible environments, data contracts, accessibility, and responsive design
I value explicit assumptions, traceable calculations, honest project status, and documentation that lets another person reproduce the result.