Machine Learning

Machine learning is a field of artificial intelligence focused on building systems that learn from data to make predictions, recommendations, or automate decisions. It involves techniques such as regression, classification, clustering, and deep learning, powered by algorithms and mathematical models.

I use machine learning to build predictive models, recommender systems, and intelligent automation tools. My work includes end-to-end pipelines, from data exploration and feature engineering to model training, evaluation, and deployment. I typically work with Python (Scikit-learn, XGBoost, LightGBM etc) and MLflow for experiment tracking, and often integrate models directly into APIs or business systems.

Machine learning enables your business to unlock the value hidden in your data. When applied effectively, it drives better decisions, automates repetitive processes, and reveals insights that would be almost impossible to discover manually.