Leverage strong expertise in Python (pandas, NumPy, scikit-learn) along with hands-on experience in Databricks, Snowflake, MLflow, Unity Catalog, and advanced SQL
Build, train, validate, and deploy machine learning models for real-world business applications
Perform exploratory data analysis (EDA) and feature engineering to improve model performance
Apply statistical modeling and machine learning techniques (supervised and unsupervised)
Productionize models using MLflow, including experiment tracking, versioning, and lifecycle management
Develop CI/CD pipelines for ML workflows and monitor model performance in production
Design and optimize scalable data pipelines using Databricks (Spark) in distributed environments
Implement data governance, lineage, and access control using Unity Catalog<...