Predictive Modeling, Machine Learning, Data Visualization, Statistical Analysis, Big Data, Python Programming, Data Mining, Deep Learning, Cloud Computing, SQL Databases

snowflake , Pyspark, Kafka, Grafana, Neo4j, Docker, Python, Sql, Cloudwatch, MLops, FastAPI, Kubernetes, MLflow, Pinecone, OpenSearch, LangGraph, GitHub Actions, data lineage platforms, ChromaDB, LangChain, FAISS, Delta Lake, MCP, LlamaIndex

causal inference , Sql, Statistical Analysis, Machine Learning, Python, Dashboards, Analytical tools, Experimental Design, Data Analysis

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

bedrock , Tensorflow, Numpy, Nltk, Pytorch, Python, AWS, Sql, Git, Pandas, Gcp, Azure, GenAI tools, Hugging Face Transformers, MLflow, NLP libraries, NoSQL database, OpenAI APIs, Vertex AI, LangChain, Scikit-learn, SageMaker, LLM fine-tuning, spaCy, RAG

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

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

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