Machine Learning, Spark, Python, Sql, Deep Learning, Model lifecycle tooling, LLM adaptation

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

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

Pandas, Sklearn, Github, Numpy, AWS, Python, Azure, Gcp, Pytorch, LLMs, Transformers, monitoring logging and observability tools, Hugging Face, LLM evaluations, ML libraries, Monitoring, LangChain, RAG, CI CD pipelines, prompt engineering, automated testing strategies

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

causal inference , BigQuery, Time Series Analysis, Python, Sql, Survival Analysis, Bayesian Methods

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

Pytorch, Data Visualization, Python, Sql

Numpy, Pandas, Docker, Postgres, Flask, FastAPI, Python, Redis