statistical concepts , Sql, Predictive Modeling, Neural Networks, Deep Learning, Decision Trees, Machine Learning, Clustering, Python, Model training, Data ingestion, Responsible AI, Explainable AI, Ai, Ensemble methods, Feature engineering

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

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

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

Git, Machine Learning, Python, Sql, Agentic AI solutions

Machine Learning, Nlp, Data Mining, Apache Spark, Information Retrieval, Python, Deep Learning, Statistics

Tensorflow, Machine Learning, MLops, AWS, Pytorch, Python, Azure, Gcp, Hl7, LLaMA, Claude, OpenAI GPT, Hugging Face, EMR EHR systems, FHIR, AI ML models, Statistical models, Generative AI

Sql, Computer Vision, Pyspark, Machine Learning, MLops, Python, Docker, Scala, Flask, Spark, PEFT, Personalization Algorithms, RAG, User Behavior Modeling, Recommendation Systems