simulated annealing , Machine Learning, Redshift, Sql, Nlp, Python, AWS, Generative AI, Testing discipline, heuristics, Integer Programming, Statistics, Schema definition, API service contract design, Optimization, SageMaker, Glue, Athena, Simulation

Natural Language Processing, Power Bi, Tableau, Sql, Tensorflow, Deep Learning, Git, Pytorch, Spark, Databricks, Azure, Python, AWS, data pipeline development, LLM Agentic AI, scikit-learn, machine learning frameworks, DevOps practices, R, ETL processes

causal inference , Machine Learning, Hadoop, Sql, Hive, MLops, Spark, Python, Generative AI, Model Evaluation, Optimization, Statistical Measurement, Operations Research, AI Engineering, Data Analysis, Simulation

Power Bi, Machine Learning, Tableau, Python, Data science libraries, Statistical Modeling, Data Analysis, R

graph databases , Data Modeling, Sparql, Python, Neo4j, Rdf, Elasticsearch, ontology design, Cypher, hierarchical taxonomies, graph systems, owl, JSON-LD, knowledge graph population, Elasticsearch DSL, Knowledge Representation, entity resolution, Gremlin, Neptune, data modeling skills, entity-relationship design

Tableau, Sql, Excel, Decision Trees, Hadoop, Pyspark, Machine Learning, Hive, Python, XGBoost, Data Handling, feature engineering, GenAI, Modeling, Powerpoint, Regression

Numpy, Sql, Keras, Java, Pandas, Pytorch, Python, Docker, Javascript, scikit-learn, Langchain, RAG, OpenAI API

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

Artificial Intelligence (AI), Data Science, Machine Learning, Numpy, Pandas, Matlab, R

Tableau, Sql, Data Analysis, product Analytics