Machine Learning, Predictive Modeling, Azure, Python, Sql, Google Cloud, AWS, R, scikit-learn, Statistical Modeling

SQL Server, Tableau, Redshift, Sql, Quicksight, MySQL, Spark, Data Visualization, Python, AWS, GenAI tools, semantic layers, LLMs, anomaly detection, self-service analytics, Pipelines, ML-based alerting, AI-assisted data quality, data flows

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

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

attribution modeling , Machine Learning, Pyspark, Neural Networks, Support Vector Machine, Clustering, Sql, Deep Learning, Databricks, Azure, Python, AWS, Advanced Analytics, Predictive Analytics, Regression, Tree-based algorithms, Classification, Recommender System, Gen AI, Data Platforms, Llm

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

Databricks, Sql, Tensorflow, Deep Learning, Machine Learning, Pytorch, Data Science, Gcp, Sparql, AWS, Python, Azure, cloud environments, semantic data systems, scikit-learn, GQL, semantic models, embeddings, enterprise ontologies, GenAI systems, RAG, semantic retrieval, Statistical Modeling, Cypher, applied AI, enterprise knowledge grounding, graph query languages, ML libraries, vector databases, knowledge engineering, big data infrastructure