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

Sql, Python, Bayesian causal modeling, R, regression-based models, uplift modeling, cloud-based data platforms, causal inference techniques

Pytest, Postman, Python, Selenium, LangSmith, DeepEval, dbt tests, Great Expectations, RAGAS, data quality tools, Promptfoo, LLM evaluation frameworks

Pyspark, Cloud Infra, Pytorch, Batch, Terraform, Python, Aws Lambda, MLops, Spark, FastAPI, AWS Bedrock, Polars, Hugging Face, Data ML, EventBridge, OpenSearch, LangGraph, Pydantic, LLM orchestration, LangChain, Parquet, PGvector, Vector DBs, RAG fine-tuning, Iceberg Delta Tables, SageMaker, Glue