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

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

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

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

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

Machine Learning, Pyspark, Kafka, Sql, Gcp, Spark, Azure, Devops Tools, Python, Computer Vision, Deep Vision algorithms, infrastructure automation, MLOps practices, model monitoring

Pyspark, Tensorflow, System Design, Python, Computer Vision, Recommendation engines, Generative AI, Vector DBs, Torch, Graph Knowledge Bases, Image Understanding models, Large-scale Search systems