Pandas, Spark, Azure, Sql, Python, AWS, Version Control, Testing, LangChain, embeddings, Agentic RAG workflows, reranking approaches, LLM-as-judge, RAG development, vector databases, Pinecone, OpenSearch, agent frameworks, Semantic Kernel, Elastic, LangGraph, FAISS, CI/CD, evaluation frameworks, Weaviate, LlamaIndex, retrieval concepts

Gcp, Databricks, Sql, AWS, Python, Azure, Tableau, Alteryx

Git, Python, Sql, Machine Learning, Gen AI, Jupyter Notebooks, Agentic AI, R

Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Sql, Pca, Random Forest, Nosql, Neural Network, Numpy, Pandas, Gcp, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT

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

causal inference , Python, Deep Learning, Data Manipulation, Machine Learning, Graph-based Machine Learning, Transformers

Machine Learning, Neural Networks, Azure Cloud Computing, Deep Learning, Tensorflow, Nlp, Rnn, Pytorch, Keras, Python, LangChain, Transformer, LSTM, Generative Models, Llama Index, OpenAI, Prompt Engineering