Environment: Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, PowerBI). Collaborates with cross-functional stakeholders to identify high-value use cases, gather requirements, prepare data, select, train, validate, and deploy AI models and applications.