statistical concepts , Machine Learning, Sql, Deep Learning, Nosql, Data Science, Gcp, Spark, Azure, Python, AWS, LLMs, R, RAG, Agentic Architectures, Prompt Engineering, Modeling Techniques

Pyspark, Machine Learning, Sql, Python, AutoML

Tensorflow, Pandas, Gcp, Pytorch, MLops, Docker, Spark, Azure, Kubernetes, Python, AWS, GenAI, scikit-learn, R

vectorization , Apis, Microservices, Nlp, Docker, Python Programming, Rest Apis, Etl, LangChain, MLOps toolchains, GPT embeddings, vector search, agentic AI, LLMs, Azure OpenAI models, CI CD, Transformation, prompt engineering, LangGraph, data ingestion, RAG pipelines

Spark SQL, Ml, Personalization, Data Science, Spark, Big data systems, Sequential incremental learning, Ai, Price elasticity modeling, Recommendation systems, Off-policy reinforcement learning, combinatorial optimization, Machine learning techniques, Contextual bandits, Causal uplift modeling

AWS, Advanced Analytics, Azure, Gcp, Machine Learning, Cloud Platforms, RFP RFI Proposal Development, Stakeholder Client Management, Model Deployment, Generative AI, Pre-Sales Solutioning, AI ML Architecture

Machine Learning, Sql, Market Sizing, Network Analysis, Python, Causal inference methods, Cohort Development, Switch Prediction Models, Longitudinal analysis, Patient Finding, Epidemiology, Journey Analytics, Provider Targeting, HCRU Cost Analysis, SDOH integration in healthcare analytics, Patient Segmentation, Study Design