Fardin Sheikh Milani
Data & Product Engineer
Specializing in Machine Learning, Monte Carlo Simulation & Web Development
Machine Learning Modeling & Simulation Web
Summary
I build data-driven products end-to-end: defining KPIs, modeling uncertainty, implementing analytics/simulation, and shipping clean web experiences to communicate results. I care about decision-focused metrics, reproducibility, and UX.
Highlights
- • Monte Carlo simulation for scenario analysis
- • Statistical thinking + practical engineering
- • Modern web delivery for interactive insights
Core skills
Python SQL TypeScript Statistics Simulation React/Astro
Experience
Timo — Software Developer
Present
Developing and maintaining a project management web application using Django and PostgreSQL; delivering end-to-end features and performance improvements.
- • Implemented end-to-end features from design to deployment
- • Database design and SQL query optimization
- • Performance improvements via pagination and query tuning
- • Built REST APIs for frontend integration
- • Collaborated via code review and team processes
Django PostgreSQL REST JavaScript Git
Skills (more detail)
Stats / Decision
- • Random variables & distributions
- • Hypothesis testing, p-values
- • Distribution fitting (goodness-of-fit)
- • Model evaluation & cross-validation
Monte Carlo / Risk
- • Latin Hypercube / importance sampling
- • Variance reduction techniques
- • Sensitivity analysis
- • Output interpretation (percentiles, VaR)
ML / DL
- • Regression / classification / ensembles
- • Gradient boosting (XGBoost/LightGBM)
- • PyTorch fundamentals
Data / Engineering
- • SQL (joins, window functions)
- • Data cleaning (missing/outliers)
- • REST API design
- • Django + performance tuning
Selected work
Case study: Monte Carlo Simulation for Tehran BRT
Demand modeling + scheduling scenario to reduce left-behind passengers.
Read the case study