Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
SQL and relational databases (PostgreSQL, SQL Server, Oracle)
Machine learning model building and deployment
Cloud-based ML environments (AWS Sagemaker, Azure ML, GCP Vertex AI)
Statistics, experimental design, and data modeling
Large datasets, ETL pipelines, and data processing frameworks