Azure, Ml, AWS, Pytorch, Tensorflow, Python, Kubernetes, Gcp, MLops, Llm, scikit-learn, GenAI

Data Science, Python, Statistical Programming Software, embeddings, Data Analysis Interpretation, Structured Query Language SQL, DL techniques, vector databases, MLflow, Traditional ML, Data Designing, LangGraph, unstructured datasets, text, Regulatory Compliance, Generative AI models, Large Language Models, structured datasets, RAG architectures, LangChain, Weights Biases, images, Research Analysis, Statistical Methods, Machine Learning Engineering Fundamentals, prompt engineering, GenAI frameworks

Python, LangChain, Weights Biases, Statistical Programming Software, embeddings, images, Research Analysis, Structured Query Language SQL, DL techniques, vector databases, MLflow, Traditional ML, Statistical Methods, Machine Learning Engineering Fundamentals, prompt engineering, LangGraph, unstructured datasets, text, Regulatory Compliance, GenAI frameworks, Large Language Models, structured datasets, RAG architectures

causal inference , Databricks, Clustering, Time Series Analysis, Azure Synapse Analytics, Azure Machine Learning, Recommender Systems, Hypothesis Testing, uplift modeling, statistical methods, Azure Data Lake Storage, Regression, Classification, dashboard development, lifetime value modeling, personalization algorithms, experimentation design