Building Robust Data Pipelines with Python
A practical guide to designing, implementing, and monitoring data pipelines using Python. Covers architecture patterns, error handling, and testing strategies.
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Data Scientist / Data Engineer / Developer
I build data pipelines, train models, craft dashboards, and write about the things I learn along the way. This site is where I share technical articles and project work across data science, machine learning, business intelligence, and infrastructure.
A production-grade time series forecasting system built with Python, scikit-learn, and XGBoost. Supports multiple forecasting horizons, automated feature engineering, and model evaluation with backtesting.