I bridge the gap between data and real-world applications by combining Machine Learning for data analysis with an engineering mindset driven by excellence, leadership, and continuous improvement. I don’t just build models — I refine data, question results, and aim for decisions that actually matter. Skills: handling missing data encoding categorical variables train/ test split Supervised learning regression models classification algorithms model training and validation overfitting and underfitting analysis Tools: python numpy pandas matplotlib seaborn scikit-learn colab notebook jupyter notebook