Data Science · Machine Learning
Hi, I'm Yiannis — I design and ship machine-learning systems, from data pipelines to deployed forecasting apps.
About
I'm a data scientist focused on time-series forecasting and end-to-end ML engineering. I enjoy taking a problem from raw data all the way to a running product — feature pipelines, model training and evaluation, experiment tracking, and deployment.
My recent work centers on financial forecasting: building hybrid statistical and deep-learning models, backtesting trading strategies, and serving predictions through monitored, containerized services.
Projects
An end-to-end forecasting platform: an ARIMA + LSTM hybrid model predicts next-period returns, a backtester evaluates the trading strategy against buy-and-hold (Sharpe, drawdown), and results are tracked in MLflow and served through a live dashboard. Built with Python, PostgreSQL, FastAPI, Flask, and Docker.
Skills
Gallery
What you did and what you achieved there.
Field of study, focus, notable results.