Sql, Data Science, Python, embeddings, knowledge engineering, enterprise ontologies, big data infrastructure, vector databases, semantic models, semantic retrieval, GenAI systems, enterprise knowledge grounding, RAG pipelines, semantic data systems, applied AI

MLops, AWS, Terraform, Python, Agentic AI, LLMs

Machine Learning, Natural Language Processing, SAS, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, Generative AI, R

Predictive Modeling, Machine Learning, Algorithm Design, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Spark, Python, a/b testing, AWS Bedrock, Data Pipelines, Scikit-learn, Statistical Methods, Recommendation Systems, GCP AI Platform, AWS SageMaker, Google Vertex AI, Uplift Modeling

snowflake , Apache Spark, Sql, Tensorflow, MLops, XGBoost, Keras, Python, scikit-learn, generative AI, AWS cloud services, SparkML, Azure OpenAI, Llm, Relational Databases

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, vector databases, MLflow, prompt engineering, Agentic AI systems, MLOps practices, MCP Model Context Protocol, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

Data Science, Machine Learning, RDS, Power Bi, Artificial Intelligence, Pyspark, Redshift, Python, AWS

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, MLflow, vector databases, prompt engineering, Agentic AI systems, MCP Model Context Protocol, MLOps practices, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines