Scalable and user friendly neural 🧠 forecasting algorithms.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Implementing 17 Machine Learning Models in a Hierarchical Data Architecture and Evaluating Their Performance

e-Portfolio showcasing my personal projects.

A commercial AI-driven platform for real-time and end-of-day forecasting of all Tehran Stock Exchange symbols. Built in collaboration with industry partners and academic advisors, it integrates automated data-ingestion pipelines, deep-learning LSTM models, smart feature extraction (technical data & news data), and rolling 40-minute predictions.