Bi Tools, Power Bi, Pyspark, Tableau, Sql, Gcp, Data Extraction, Azure, Python, AWS, Generative AI concepts, Data Analysis, LLMs, Cloud based environment, Statistics concepts, Feature engineering, Modeling concepts

Hypothesis Testing, Microservices, cloud, Python, AWS, Apis, Gcp, Databricks, Azure, embeddings, vector databases, Pinecone, model observability, Statistical Modeling, evaluation frameworks, Async streaming architectures, LangChain, LLMs, Agents, prompt engineering, AutoGen, Gen AI, FAISS, RAG, feature engineering, Weaviate, LlamaIndex

snowflake , Matplotlib, Sql, Numpy, Pandas, Machine Learning Algorithms, Seaborn, Statistical Analysis, Python, LLM NLP Techniques, Data Visualization Tools, Supply Chain Concepts, Applied Statistics, Operations Research

Hypothesis Testing, PostgreSQL, Advanced Excel, Tableau, Sql, Python, Statistical analysis fundamentals, Data retrieval and querying techniques, Statistical reasoning and interpretation, Data interpretation for business decision-making, Data cleaning and preprocessing workflows, Data extraction workflows, Experimental Design, Structured reporting approaches, Dataset transformation techniques, Data cleaning pipelines

Sqlalchemy, Machine Learning, Dependency Injection, Nlp, MLops, Celery, FastAPI, Python, Computer Vision, LangChain, Hugging Face, Azure OpenAI, LangGraph

Api Development, REST, Computer Vision, Docker, Kubernetes, Python, embeddings, vector databases, time-series forecasting, GRPC, traditional ML boosting algorithms, RAG architectures

Machine Learning, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, Generative AI, Prompt engineering, scikit-learn, LLM integration, RAG pipelines, Fine-tuning

Matplotlib, Amazon Web Services, Google Cloud Platform, Power Bi, Pyspark, Tableau, Tensorflow, Pytorch, Databricks, Seaborn, Microsoft Azure, Keras, Python, MLflow, GitHub Copilot, Dask, Amazon CodeWhisperer