statistical concepts , Numpy, Machine Learning, Data Modeling, Pandas, Data Extraction, Excel, Python, Sql, Data Analysis

Pyspark, Machine Learning, Data Mining, Excel, Python, Sql, AWS, R, Rspark, Statistical Pattern Recognition

PostgreSQL, Rdf, Neo4j, Python, AWS, Apis, Gcp, MLops, Azure, pgvector, LLM-driven applications, vector databases, Pinecone, GenAIOps, LangGraph, Chroma, GenAI microservices, RAG pipelines, architecture standards, LangChain, knowledge-grounding frameworks, cloud platforms, benchmark model performance, prompt engineering, knowledge graph systems, Transformers, Milvus, Weaviate, LlamaIndex

snowflake , Ibm Mq, Scala, Ibm Datastage, Kafka, ELT, Databricks, Talend, Python, Etl, Airflow, Pervasive Actian DataConnect, ROSCO Filewatcher

snowflake , Ibm Mq, Scala, Ibm Datastage, Kafka, ELT, Databricks, Talend, Python, Etl, Airflow, Pervasive Actian DataConnect, ROSCO Filewatcher

Pyspark, Sql, Tensorflow, Numpy, Pandas, Pytorch, Gcp, MLops, Spark, Azure, Python, AWS, agentic AI, LLMs, CPLEX, Scikit-learn, cloud platforms, OR-Tools, optimization solvers, Gurobi

causal inference , Machine Learning, Sql, Tensorflow, Pytorch, Predictive Modeling, XGBoost, Python, experimentation design, Demand Forecasting, scikit-learn, R, Optimization Techniques, Statistics

question answering , Summarization, Cortex, Apis, Numpy, Git, Pandas, MLops, Enterprise Search, Python, vector search, embeddings, data pipelines, scikit-learn, Indexing, Reasoning, LLM-powered solutions, recommendations, content extraction, retrieval patterns, Amazon Bedrock