Served as a Data Scientist Intern at AI Variant, contributing to end-to-end machine learning workflows, including data preprocessing, exploratory data analysis, and model development using Python, pandas, and scikit-learn. Leveraged MLflow for experiment tracking, Apache Airflow for orchestrating data pipelines, and DagsHub for version control and collaborative model management. Focused on building scalable, reproducible, and production-ready solutions aligned with real-world business objectives.