Ivan Brigida is a business intelligence analyst with 10+ years of experience spanning digital marketing, statistical modeling, forecasting and visualization, database programming, data analysis, econometrics, machine learning, and finance. That breadth lets him move comfortably from business questions to quantitative models and back to decisions.

Ivan is also the analytics lead behind PythonInvest, where he makes algorithmic trading practical in Python. He teaches a complete workflow for building trading strategies: sourcing and cleaning market data, engineering features from time-window statistics and handcrafted indicators, backtesting with walk-forward simulation to avoid data leakage, managing risk with position sizing and stop-loss thresholds, and evaluating models from logistic regression and XGBoost to neural networks. His emphasis is on robust, risk-managed validation rather than overfit promises, and on deployment patterns that take strategies from notebook toward production.