Ali Ebadatian

I help clients solve complex financial and data problems using advanced analytics, econometrics, and Python/Stata based modeling.

My experience includes:
Credit Risk & Survival Analysis: Modeling default probabilities for mortgages and consumer loans using Financial Models
Fraud Detection & Machine Learning: Building pipelines with Python, XGBoost, and neural networks to detect anomalous transactions with high precision.
Financial Network & Systemic Risk Analysis: Analyzing interbank networks to detect early warning signals using graph metrics and GNN based forecasting.
Panel & Time Series Modeling: Econometric and forecasting models for multi year datasets, including ARIMA, panel time series, and network informed predictions.
I deliver robust, interpretable, and actionable results that support decision making, research, or investment analysis.

If you need a junior to mid quantitative consultant who can take raw data and turn it into reliable insights, let’s discuss your project