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 , Ml, Machine Learning, Pyspark, Neural Networks, Support Vector Machine, Clustering, Sql, Deep Learning, Databricks, Azure, Python, AWS, Ai, DL, Regression, Tree-based algorithms, Classification, Cloud Systems, Recommender System

Data Science, Machine Learning, Data Analysis, Data Processing

Data Cleansing, data structures, test strategy development, propensity models, AI ML modeling, performance validation, recommendation engines

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

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 engineering , Machine Learning, Python, Sql, Data Analysis, Causal AI, Structured Causal Models

Unsupervised Learning, Spark, Databricks, Python, Deep Learning, supervised learning