causal inference , Scipy, Regression Analysis, Hypothesis Testing, Pandas, Numpy, Databricks, Clustering, Python, statistical methodology, scikit-learn, Simulation, stats models, Bayesian Methods, Survival Analysis, Experimental Design, time-series analysis

graph databases , Tensorflow, Nlp, Pytorch, Neo4j, Python, AWS, Spark SQL, MLops, Databricks, Keras, Azure, embeddings, knowledge graphs, vector databases, semantic search, LangChain, LLMs, LLMOps, Scikit-learn, DGL, prompt engineering, RAG, LlamaIndex

Ml, Deep Learning, Nlp, Gcp, MLops, Azure, Python, AWS, Statistical Tools, Ai, Llm, Data Analysis

graph databases , Tensorflow, Nlp, Pytorch, Neo4j, Python, AWS, Testing, MLops, Keras, Azure, embeddings, knowledge graphs, model versioning, vector databases, model validation, semantic search, experiment tracking, explainability, LLMs, LLMOps, Scikit-learn, DGL, Monitoring, prompt engineering, RAG, Production Monitoring, Responsible AI

graph databases , Tensorflow, Nlp, Pytorch, Gcp, Neo4j, Azure, Python, AWS, GenAI, knowledge graphs, LLMs, Scikit-learn, DGL, cloud AI ML services, vector stores, MLOps practices

Machine Learning, Pyspark, Databricks, Python, Sql, AWS

Machine Learning, Natural Language Processing, Python, Sql, Deep Learning, Model Evaluation