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Projects

A collection of my work in quantitative finance, data analytics, and machine learning

Kallos: GRU-Powered Cryptocurrency Trading System Featured

End-to-end deep learning trading system evaluating whether GRU neural networks can generate investable alpha in cryptocurrency markets. Full MLOps pipeline from data ingestion to portfolio construction with rigorous walk-forward validation....

Deep Learning Portfolio Optimization Cryptocurrency
Kallos Portfolios: Cryptocurrency Portfolio Optimization Framework

Advanced portfolio optimization framework comparing machine learning (GRU) predictions against traditional mean-variance and market-cap weighted strategies. Features quarterly model rotation, rigorous statistical testing, and production-ready backtesting infrastructure.

Portfolio Optimization Python Deep Learning
Kallos Models: MLOps Framework for Cryptocurrency Forecasting

Production-grade MLOps framework for training and deploying deep learning time-series models for cryptocurrency price prediction. Features walk-forward validation, multi-objective optimization, and end-to-end CLI workflow.

MLOps Python Deep Learning
Kallos Data: Cryptocurrency Market Intelligence Pipeline

Production-grade data engineering pipeline for cryptocurrency market intelligence. Automates daily OHLCV data collection, computes 30+ technical indicators, generates trading signals, and maintains a market-cap weighted crypto index with comprehensive error...

Data Engineering Python PostgreSQL