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

Machine Learning, Nlp, Databricks, Python, AWS, LangChain, embeddings, GenAI, LangGraph, encoders-decoder models, retrieval-based systems, transformer architectures, Amazon Bedrock

snowflake , Matplotlib, Power Bi, Scala, Tableau, Sql, Tensorflow, Nlp, Pytorch, Azure, Python, AWS, Computer Vision, scikit-learn, Azure ML Services, R

Machine Learning, Predictive Analytics, Python, Sql, Estimation, R, Gis, Statistical methods, Sampling methods

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

data science principles, data science research

Deep Learning, Nlp, Machine Learning, Pyspark, Python, Sql, generative AI, Ai

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

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