Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms

Java, Microservices, MLops, Docker, Databricks, Rest Apis, Kubernetes, Python, MLflow, GenAIOps, SageMaker, Kubeflow

Apis, Power Bi, automation testing, Tableau, Json, Sql, Git, Microsoft Azure, Rest Apis, AWS, data pipelines, Crew AI, ML lifecycle concepts, CI CD, Autogen, Python backend services, LangGraph, ELT concepts, object-oriented design, clean coding principles, LLM concepts

Pandas, XGBoost, Spark, Databricks, Python, SHAP, scikit-learn, LightGBM, MLflow, model observability, LIME, Delta Lake, explainability frameworks, drift detection